Data Aggregation in Wireless Sensor Networks: Previous Research, Current Status and Future Directions

Wireless Personal Communications

Volumn 97, Issue 3, 2017, Pages 3355-3425

  Randhawa, Sukhchandan ^a   Jain, Sushma ^a  

^a THAPAR UNIVERSITY   (India)

Author keywords

Data aggregation; Energy efficiency; Quality of service; Wireless sensor networks

Indexed keywords

DISASTER PREVENTION; DISASTERS; ELECTRIC BATTERIES; ENERGY EFFICIENCY; INFORMATION ANALYSIS; MILITARY APPLICATIONS; QUALITY OF SERVICE; REDUNDANCY; SENSOR NODES;

DATA AGGREGATION; DISASTER MANAGEMENT; ENERGY-EFFICIENT TECHNIQUES; FUTURE RESEARCH DIRECTIONS; HABITAT MONITORING; LITERATURE ANALYSIS; PROCESSING CAPABILITY; WIRELESS SENSOR NETWORK (WSNS);

WIRELESS SENSOR NETWORKS;

EID: 85026439952     PISSN: 09296212     EISSN: 1572834X     Source Type: Journal    
DOI: 10.1007/s11277-017-4674-5     Document Type: Review

References (126)

1. Tan, H. Ö., & Korpeoglu, I. (2003). Power efficient data gathering and aggregation in wireless sensor networks. ACM SIGMOD Record, 32(4), 66–71.
2. Pourpeighambar, S. B., Aminian, M., & Sabaei, M. (2011). Energy efficient data aggregation of moving object in wireless sensor networks. In Australasian telecommunication networks and applications conference (pp. 1–8).
3. Krishnamachari, L., Estrin, D., & Wicker, S. (2002). The impact of data aggregation in wireless sensor networks. In Proceedings of 22nd international conference of distributed computing system work (pp. 575–578).
4. Qayyum, B., Saeed, M., & Roberts, J. A. (2015). Data aggregation in wireless sensor networks with minimum delay and minimum use of energy: A comparative study. In Accepted for publication in Electronic Workshops in Computing (eWiC). British Computer Society.
5. Cayirci, E. (2003). Data aggregation and dilution by modulus addressing in wireless sensor networks. IEEE Communication Letters, 7(8), 355–357.
6. Dagar, M., & Mahajan, S. (2013). Data aggregation in wireless sensor network: A survey. International Journal of Information and Computation Technology, 3(3), 167–174.
7. Tan, H. Ö., & Körpeoǧlu, I. (2003). Power efficient data gathering and aggregation in wireless sensor networks. ACM SIGMOD Record, 32(4), 66–71.
8. Madden, S., Franklin, M. J. Hellerstein, J. M., & Hong, W. (2002). TAG: A tiny aggregation service for ad hoc sensor networks. In Proceedings of 5th symposium operating systems design implementation (Vol. 36, no. SI, pp. 131–146).
9. Al-Karaki, I. N., UI-Mustafa, R., & Kamal, A. E. (2004). Data aggregation in wireless sensor networks—Exact and approximate algorithms. In Work. High performance switching and routing, 2004. HPSR (pp. 241–245).
10. Massad, Y. E., Goyeneche, M., Astrain, J. J. & Villadangos, J. (2008). Data aggregation in wireless sensor networks. In 3rd international conference information communication technologies from theory to applications (Vol. 2, pp. 1040–1052).
11. Rajagopalan, R., & Varshney, P. K. (2006). Data-aggregation techniques in sensor networks: A survey. IEEE Communications Surveys and Tutorials, 8(4), 48–63.
12. Jesus, P., Baquero, C., & Almeida, P. S. (2015). A survey of distributed data aggregation algorithms. IEEE Communications Surveys & Tutorials, 17(1), 381–404.
13. Kalpakis, K., Dasgupta, K., & Namjoshi, P. (2003). Efficient algorithms for maximum lifetime data gathering and aggregation in wireless sensor networks. Computer Networks, 42(6), 697–716.
14. Lu, G., Krishnamachari, B., & Raghavendra, C. S. (2004). An adaptive energy-efficient and low-latency MAC for data gathering in wireless sensor networks. In 18th international parallel distributed processing symposium 2004 proceedings, 2004.
15. Li, W., Bandai, M., & Watanabe, T. (2010). Tradeoffs among delay, energy and accuracy of partial data aggregation in wireless sensor networks. In Proceedings of IEEE international conference advanced information networking and applications AINA (pp. 917–924).
16. Li, H., Lin, K., & Li, K. (2011). Energy-efficient and high-accuracy secure data aggregation in wireless sensor networks. Computer Communications, 34(4), 591–597.
17. Liu, C. X., Liu, Y., Zhang, Z. J., & Cheng, Z. Y. (2013). High energy-efficient and privacy-preserving secure data aggregation for wireless sensor networks. International Journal of Communication Systems, 26(3), 380–394.
18. Li, H., Wu, C., Hua, Q. S., & Lau, F. C. M. (2011). Latency-minimizing data aggregation in wireless sensor networks under physical interference model. Ad Hoc Networks, 12, 52–68.
19. Shan, M., Chen, G., Luo, D., Zhu, X., & Wu, X. (2014). Building maximum lifetime shortest path data aggregation trees in wireless sensor networks. ACM Transactions on Sensor Networks, 11(1), 11–18.
20. Tsai, S. Y., Sou, S. I., & Tsai, M. H. (2014). Reducing energy consumption by data aggregation in M2M networks. Wireless Personal Communications, 74(4), 1231–1244.
21. Randhawa, S., & Jain, S. (2017). An intelligent PSO-based energy efficient load balancing multipath technique in wireless sensor networks. Turkish Journal of Electrical Engineering & Computer Sciences, 25(4), 3113–3131.
22. Randhawa, S., & Jain, S. (2015). A systematic review on energy aware QoS routing in wireless sensor networks. International Journal of Energy, Information and Communications, 6(5), 1–14.
23. Al-Karaki, J. N., Ul-Mustafa, R., & Kamal, A. E. (2009). Data aggregation and routing in wireless sensor networks: Optimal and heuristic algorithms. Computer Networks, 53(7), 945–960.
24. Li, M., Xu, Wang, S., & Tang, S. (2009). Efficient data aggregation in multi-hop wireless sensor networks under physical interference model. In IEEE 6th international conference on mobile adhoc and sensor systems (pp. 353–362).
25. Rout, R. R., & Ghosh, S. K. (2014). Adaptive data aggregation and energy efficiency using network coding in a clustered wireless sensor network: An analytical approach. Computer Communications, 40, 65–75.
26. Mantri, D., Prasad, N. R., & Prasad, R. (2013). MHBCDA: Mobility and heterogeneity aware bandwidth efficient cluster based data aggregation for wireless sensor network. In 3rd International conference on wireless communications, vehicular technology, information theory and aerospace & electronics systems (VITAE) (pp. 24–27).
27. Banerjee, R. (2014). Cluster based routing algorithm with evenly load distribution for large scale networks. In 2014 International conference on computer communication and informatics (ICCCI) (no. I, pp. 1–6).
28. Intanagonwiwat, C., Estrin, D., Govindan, R., & Heidemann, J. (2002). Impact of network density on data aggregation in wireless sensor networks. In Proceedings of 22nd international conference of distributed computing system (pp. 17–18).
29. Chatterjea, S. (2003). A dynamic data aggregation scheme for wireless sensor networks. In Proceedings of the 14th ProRISC workshop on circuits, systems and signal processing (pp. 1–7). Japan: Kokurakita.
30. He, T., Blum, B. M., Stankovic, J. A., & Abdelzaher, T. (2004). AIDA: Adaptive application-independent data aggregation in wireless sensor networks. ACM Transactions on Embedded Computing Systems (TECS), 3(2), 426–457.
31. Hu, F., Cao, X., & May, C. (2005). Optimized scheduling for data aggregation in wireless sensor networks. In International conference on information technology: Coding and computing, 2005. ITCC 2005 (pp. 557–561).
32. Çam, H., Özdemir, S., Nair, P., Muthuavinashiappan, D., & Sanli, H. O. (2006). Energy-efficient secure pattern based data aggregation for wireless sensor networks. Computer Communications, 29(4), 446–455.
33. Gao, J., Guibas, L., Milosavljevic, N., & Hershberger, J. (2007). Sparse data aggregation in sensor networks. In 6th International conference on information processing in sensor networks, ACM Proceeding (pp. 430–439).
34. Yu, B., Li, J., & Li, Y. (2009). Distributed data aggregation scheduling in wireless sensor network. In IEEE INFOCOM 2009—28th conference of computation communication (pp. 2159–2167).
35. Jiang, H., Jin, S., Wang, C., & Member, S. (2010). Parameter-based data aggregation for statistical information extraction in wireless sensor networks. IEEE Transactions Vehicular Technology, 59(8), 3992–4001.
36. Li, Y., Guo, L., & Prasad, S. K. (2010). An energy-efficient distributed algorithm for minimum-latency aggregation scheduling in wireless sensor networks. In Proceeding of IEEE international conference distributed computing systems (pp. 827–836).
37. Villas, L. A., Guidoni, D. L., Araujo, R. B., Boukerche, A., & Loureiro, A. F. (2010). A scalable and dynamic data aggregation aware routing protocol for wireless sensor networks. In Proceedings of the 13th ACM international conference on modeling, analysis, and simulation of wireless and mobile systems (pp. 110–117).
38. Wei, G., Ling, Y., Guo, B., Xiao, B., & Vasilakos, A. V. (2011). Prediction-based data aggregation in wireless sensor networks: Combining grey model and Kalman Filter. Computer Communications, 34(6), 793–802.
39. Jung, W. S., Lim, K. W., Ko, Y. B., & Park, S. J. (2011). Efficient clustering-based data aggregation techniques for wireless sensor networks. Wireless Networks, 17(5), 1387–1400.
40. Guo, W., Xiong, N., Vasilakos, A. V., Chen, G., & Cheng, H. (2011). Multi-source temporal data aggregation in wireless sensor networks. Wireless Personal Communications, 56(3), 359–370.
41. Chen, C. M., Lin, Y. H., Lin, Y. C., & Sun, H. M. (2012). RCDA: Recoverable concealed data aggregation for data integrity in wireless sensor networks. IEEE Transactions Parallel and Distributed Systems, 23(4), 727–734.
42. Mantri, D., Prasad, N. R., Prasad, R., & Ohmori, S. (2012). Two tier cluster based data aggregation (TTCDA) in wireless sensor network. IEEE International Conference Advanced Networks Telecommunciations Systems, 2012, 117–122.
43. Kuo,T. W., & Tsai, M. J. (2012). On the construction of data aggregation tree with minimum energy cost in wireless sensor networks: NP-completeness and approximation algorithms. In Proceedings of IEEE INFOCOM (pp. 2591–2595).
44. Virmani, D., Sharma, T., & Sharma, R. (2013). Adaptive energy aware data aggregation tree for wireless sensor networks. International Journal of Hybrid Information Technology, 6, 26–36.
45. Ren, F., Zhang, J., Wu, Y., He, T., & Chen, C. (2013). Attribute-aware data aggregation using potential-based dynamic routing in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 24, 881–892.
46. Mantri, D., Prasad, N. R., & Prasad, R. (2013). Grouping of clusters for efficient data aggregation (GCEDA) in wireless sensor network. In 3rd IEEE International advance computing conference IACC 2013 (pp. 132–137).
47. Kumar, M., & Rajkumar, N. (2013). SCT based adaptive data aggregation for wireless sensor networks. Wireless Personal Communications, 75(4), 2121–2133.
48. Li, D., Zhu, Q., Du, H., & Li, J. (2012). An improved distributed data aggregation scheduling in wireless sensor networks. Journal of Combinatorial Optimization, 27(2), 221–240.
49. Mantri, D. S., Prasad, N. R., & Prasad, R. (2015). Bandwidth efficient cluster-based data aggregation for wireless sensor network. Computers & Electrical Engineering, 41, 256–264.
50. Lee, H., Hwang, H., Duc, T. L., Shon, M. H., Choo, H., & Kim, D. S. (2015). Restructuring binomial trees for delay-aware and energy-efficient data aggregation in wireless sensor networks. In Proceedings of the 9th international conference on ubiquitous information management and communication (pp. 13–20).
51. Liu, Y., Liu, C. X., & Zeng, Q. (2015). Improved trust management based on the strength of ties for secure data aggregation in wireless sensor networks. Telecommunication Systems, 62(2), 319–325.
52. Azad, P., & Sharma, V. (2015). Pareto-optimal clustering scheme using data aggregation for wireless sensor networks. International Journal of Electronics, 102(7), 1165–1176.
53. Asemani, M., & Esnaashari, M. (2015). Learning automata based energy efficient data aggregation in wireless sensor networks. Wireless Networks, 21(6), 2035–2053.
54. Kitchenham, B. A., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. Technical Report EBSE-2007-01, School of Computer Science and Mathematics, Keele University, Keele and Department of Computer Science, University of Durham, Durham, UK (p. 65).
55. Chen, H., Mineno, H., & Mizuno, T. (2008). Adaptive data aggregation scheme in clustered wireless sensor networks. Computer Communications, 31(15), 3579–3585.
56. Wu, W., Cao, J., Wu, H., & Li, J. (2012). Robust and dynamic data aggregation in wireless sensor networks: A cross-layer approach. In 2012 9th International conference on ubiquitous intelligent computing (Vol. 57, pp. 306–313).
57. Zheng, J., Member, S., Wang, P., & Li, C. (2010). Distributed data aggregation using Slepian–Wolf coding in cluster-based wireless sensor networks. IEEE Transactions on Vehicular Technology, 59(5), 2564–2574.
58. Maraiya, K., Kant, K., & Gupta, N. (2011). Efficient cluster head selection scheme for data aggregation in wireless sensor network. International Journal Computer Applications, 23(9), 10–18.
59. Yuea, J., Zhang, W., Xiao, W., Tang, D., & Tang, J. (2012). Energy efficient and balanced cluster-based data aggregation algorithm for wireless sensor networks. Procedia Engineering, 29, 2009–2015.
60. Sinha, A., & Lobiyal, D. K. (2013). Performance evaluation of data aggregation for cluster-based wireless sensor network. Human-Centric Computing and Information Sciences, 3(1), 1–13.
61. Xu, X., Ansari, R., Khokhar, A., & Vasilakos, A. V. (2015). Hierarchical data aggregation using compressive sensing (HDACS) in WSNs. ACM Transactions on Sensor Networks (TOSN), 11(3), 1–25.
62. Ozdemir, S., & Xiao, Y. (2011). Integrity protecting hierarchical concealed data aggregation for wireless sensor networks. Computer Networks, 55(8), 1735–1746.
63. Lin, Y. H., Chang, S. Y., & Sun, H. M. (2013). CDAMA: Concealed data aggregation scheme for multiple applications in wireless sensor networks. IEEE Transactions on Knowledge and Data Engineering, 25(7), 1471–1483.
64. Zhang, C., Li, C., & Zhao, Y. (2015). A balance privacy-preserving data aggregation model in wireless sensor networks. International Journal of Distributed Sensor Networks, 2015, 1–10.
65. Sicari, S., Grieco, L. A., Boggia, G., & Porisini, A. C. (2012). DyDAP: A dynamic data aggregation scheme for privacy aware wireless sensor networks. Journal of Systems and Software, 85(1), 152–166.
66. Chen, Y. P., Liestman, A. L., & Liu, J. (2006). A hierarchical energy-efficient framework for data aggregation in wireless sensor networks. IEEE Transactions Vehicular Technology, 55(3), 789–796.
67. Xu, H., Huang, L., Zhang, Y., Huang, H., Jiang, S., & Liu, G. (2010). Energy-efficient cooperative data aggregation for wireless sensor networks. Journal of Parallel and Distributed Computing, 70(9), 953–961.
68. Xiang, L., Luo, J., & Vasilakos, A. (2011). Compressed data aggregation for energy efficient wireless sensor networks. In 8th Annual IEEE communications society conference sensor, mesh ad hoc communications networks (pp. 46–54).
69. Chao, C. M., & Hsiao, T. Y. (2014). Design of structure-free and energy-balanced data aggregation in wireless sensor networks. Journal of Network and Computer Applications, 37, 229–239.
70. Engouang, T. D., Liu, Y., & Zhang, Z. (2014). GABs: A game-based secure and energy efficient data aggregation for wireless sensor networks. International Journal of Distributed Sensor Networks, 501, 1–31.
71. Liu, C., Liu, Y., & Zhang, Z. (2013). Improved reliable trust-based and energy-efficient data aggregation for wireless sensor networks. International Journal of Distributed Sensor Networks, 2013, 1–13.
72. Krishna, M. B., & Doja, M. N. (2015). Multi-objective meta-heuristic approach for energy-efficient secure data aggregation in wireless sensor networks. Wireless Personal Communications, 81(1), 1–16.
73. Ramachandran, G. S., Daniels, W., Proença, J., Michiels, S., Joosen, W., Hughes, D., & Porter, B. (2015). Hitch Hiker: A remote binding model with priority based data aggregation for wireless sensor networks. In Proceedings of the 18th international ACM SIGSOFT symposium on component-based software engineering (pp. 43–48).
74. Xiao, S., Li, B., & Yuan, X. (2015). Maximizing precision for energy-efficient data aggregation in wireless sensor networks with lossy links. Ad Hoc Networks, 26, 103–113.
75. Zhang, J., Wu, Q., Ren, F., He, T., & Lin, C. (2010). Effective data aggregation supported by dynamic routing in wireless sensor networks. IEEE International Conference Communications, 2010, 1–6.
76. Liu, H., Liu, Z., Li, D., Lu, X., & Du, H. (2013). Approximation algorithms for minimum latency data aggregation in wireless sensor networks with directional antenna. Theoretical Computer Science, 497, 139–153.
77. Xue, Y., Cui, Y., & Nahrstedt, K. (2005). Maximizing lifetime for data aggregation in wireless sensor networks. Mobile Networks and Applications, 10(6), 853–864.
78. Tang, X., & Xu, J. (2006). Extending network lifetime for precision-constrained data aggregation in wireless sensor networks. In Proceedings IEEE INFOCOM.
79. Yum, S. P. (2008). Optimal routing and data aggregation for maximizing lifetime of wireless sensor networks. IEEE/ACM Transactions on Networking, 16(4), 892–903.
80. Awang, A., & Agarwal, S. (2015). Data aggregation using dynamic selection of aggregation points based on RSSI for wireless sensor networks. Wireless Personal Communications, 80(2), 611–633.
81. Misra, R., & Mandal, C. (2006). Ant-aggregation: Ant colony algorithm for optimal data aggregation in wireless sensor networks. In IFIP international conference on wireless and optical communications networks (pp. 1–5). Bangalore.
82. Yucheng, W. L., & Fan, K. C. (2007). An ant colony algorithm for data aggregation in wireless sensor networks. In SensorComm international conference on sensor technologies and applications (pp. 101–106).
83. Lin, C., Wu, G., Xia, F., Li, M., Yao, L., & Pei, Z. (2012). Energy efficient ant colony algorithms for data aggregation in wireless sensor networks. Journal of Computer and System Sciences, 78(6), 1686–1702.
84. Ho, J. H., Shih, H. C., Liao, B. Y., & Chu, S. C. (2012). A ladder diffusion algorithm using ant colony optimization for wireless sensor networks. Information Sciences (NY), 192, 204–212.
85. Lu, Y., Comsa, I. S., Kuonen, P., & Hirsbrunner, B. (2015). Dynamic data aggregation protocol based on multiple objective tree in wireless sensor networks. In 2015 IEEE tenth international conference on intelligent sensors, sensor networks and information processing (ISSNIP) (pp. 1–7).
86. Paul, B., & Gopinathan, E. (2014). Hybrid data aggregation technique in wireless sensor network through classification of fruitful messages. In Fourth international conference advances computing and communications (pp. 157–175).
87. Pham, T., Kim, E. J., & Moh, M. (2004). On data aggregation quality and energy efficiency of wireless sensor network protocols—extended summary. In Proceedings of first international conference broadband networks (pp. 3–5).
88. Chen, I. R., Speer, A. P., & Eltoweissy, M. (2011). Adaptive fault-tolerant QoS control algorithms for maximizing system lifetime of query-based wireless sensor networks. IEEE Transactions on Dependable and Secure Computing, 8(2), 161–176.
89. Misra, S., & Thomasinous, P. D. (2010). A simple, least-time, and energy-efficient routing protocol with one-level data aggregation for wireless sensor networks. Journal of Systems and Software, 83(5), 852–860.
90. Chen, C., Lee, K., Park, J., & Baek, S. J. (2015). Minimum cost data aggregation for wireless sensor networks computing functions of sensed data. Journal of Sensors, 1–15.
91. Bagaa, M., Derhab, A., Lasla, N., Ouadjaout, A., & Badache, N. (2012). Semi-structured and unstructured data aggregation scheduling in wireless sensor networks. In Proceedings of IEEE INFOCOM (pp. 2671–2675).
92. Jhumka, A., Bradbury, M., & Saginbekov, S. (2014). Efficient fault-tolerant collision-free data aggregation scheduling for wireless sensor networks. Journal of Parallel and Distributed Computing, 74(1), 1789–1801.
93. Joo, C., Choi, J. G., & Shroff, N. B. (2010). Delay performance of scheduling with data aggregation in wireless sensor networks. In IEEE proceedings INFOCOM.
94. Bagaa, M., Younis, M., Djenouri, D., Derhab, A., & Badache, N. (2015). Distributed low-latency data aggregation scheduling in wireless sensor networks. ACM Transactions on Sensor Networks (TOSN), 11(3), 1–36.
95. Kwon, S., Ko, J. H., Kim, J., & Kim, C. (2011). Dynamic timeout for data aggregation in wireless sensor networks. Computer Networks, 55(3), 650–664.
96. Tan, H. O., Korpeoglu, I., & Stojmenovi, I. (2011). Computing localized power-efficient data aggregation trees for sensor networks. IEEE Transactions on Parallel Distributed Systems, 22(3), 489–500.
97. Hakoura, B., & Rabbat, M. G. (2012). Data aggregation in wireless sensor networks: A comparison of collection tree protocols and gossip algorithms. In 25th IEEE Canadian conference on electrical and computer engineering (CCECE) (pp. 1–4).
98. Yousefi, H., Yeganeh, M. H., Alinaghipour, N., & Movaghar, A. (2012). Structure-free real-time data aggregation in wireless sensor networks. Computer Communications, 35(9), 1132–1140.
99. Lin, J., Xiong, N., Vasilakos, A. V., Chen, G., & Guo, W. (2011). Evolutionary game-based data aggregation model for wireless sensor networks. IET Communications, 5(12), 1691.
100. Wang, W., Srinivasan, V., & Chua, K. (2008). Extending the lifetime of wireless sensor networks through mobile relays. IEEE/ACM Transaction Networking, 16(5), 1108–1120.
101. Jiang, H., Jin, S., & Wang, C. (2011). Prediction or not? An energy-efficient framework for clustering-based data collection in wireless sensor networks. IEEE Transactions Parallel and Distributed Systems, 22(6), 1064–1071.
102. Meng, L., Zhang, H., & Zou, Y. (2011). A data aggregation transfer protocol based on clustering and data prediction in wireless sensor networks. In 7th International conference wireless communications networking and mobile computing (pp. 1–5).
103. Dietzel, S., Bako, B., Schoch, E., & Kargl, F. (2009). A fuzzy logic based approach for structure-free aggregation in vehicular ad-hoc networks. In Proceedings of the sixth ACM international workshop on VehiculAr InterNETworking VANET 09 (p. 79).
104. Haghighi, M. S., Xiang, Y., Varadharajan, V., & Quinn, B. (2015). A stochastic time-domain model for burst data aggregation in IEEE 802.15.4 wireless sensor networks. IEEE Transactions on Computers, 64(3), 627–639.
105. Jung, W. S., Lim, K. W., Ko, Y. B., & Park, S. J. (2009). A hybrid approach for clustering-based data aggregation in wireless sensor networks. In 2009 Third international conference on digital society (pp. 112–117).
106. Kim, M. G., Han, Y. T., & Park, H. S. (2011). Energy-aware hybrid data aggregation mechanism considering the energy hole problem in asynchronous MAC-based WSNs. IEEE Communications Letters, 15(11), 1169–1171.
107. Chaudhury, B. P., & Nayak, A. K. (2015). Energy saving performance analysis of hierarchical data aggregation protocols used in wireless sensor network. In Advances in intelligent systems and computing (Vol. 309, pp. 79–89). Springer.
108. Saini, K., Kumar, P., & Sharma, J. (2013). A survey on data aggregation techniques for wireless sensor networks. International Journal of Advanced Research in Computer Engineering & Technology, 3(7), 901–903.
109. Xu, X., Li, X. Y., Mao, X., Tang, S., & Wang, S. (2011). A delay-efficient algorithm for data aggregation in multihop wireless sensor networks. IEEE Transactions Parallel and Distributed Systems, 23(1), 163–175.
110. Groat, M. M., Hey, W., & Forrest, S. (2011). KIPDA: k-indistinguishable privacy-preserving data aggregation in wireless sensor networks. In Proceedings IEEE INFOCOM (pp. 2024–2032).
111. Su, L., Gao, Y., Yang, Y., & Cao, G. (2011). Towards optimal rate allocation for data aggregation in wireless sensor networks. In Proceedings of Twelfth ACM international symposium mobile ad hoc networking and computing—MobiHoc.
112. Enachescu, M., Goel, A., Govindan, R., & Motwani, R. (2005). Scale-free aggregation in sensor networks. Theoretical Computer Science, 344(1), 15–29.
113. He, W., Nguyen, H., Liuy, X., Nahrstedt, K., & Abdelzaher, T. (2008). iPDA: An integrity-protecting private data aggregation scheme for wireless sensor networks. In MILCOM 2008 IEEE military communications conference (pp. 1–7).
114. Esnaashari, M., & Meybodi, M. R. (2010). Data aggregation in sensor networks using learning automata. Wireless Networks, 16(3), 687–699.
115. Huang, S. I., Shieh, S., & Tygar, J. D. (2010). Secure encrypted-data aggregation for wireless sensor networks. Wireless Networks, 16(4), 915–927.
116. Ozdemir, S., & Çam, H. (2010). Integration of false data detection with data aggregation and confidential transmission in wireless sensor networks. IEEE/ACM Transactions on Networking, 18(3), 736–749.
117. He, W., Liu, X., Nguyen, H., Nahrstedt, K., & Abdelzaher, T. (2007). PDA: Privacy-preserving data aggregation in wireless sensor networks. In IEEE INFOCOM 2007—26th IEEE international conference on computer communications (pp. 2045–2053).
118. Patil, N. S., & Patil, P. R. (2010). Data aggregation in wireless sensor network. In Proceedings of IEEE international conference computational intelligence and computing research (pp. 28–29).
119. Tsitsipis, D., Dima, S. M., Kritikakou, A., Panagiotou, C., & Koubias, S. (2011). Data merge: A data aggregation technique for wireless sensor networks. In IEEE 16th conference on emerging technologies & factory automation (pp. 1–4).
120. Hamid, A., Ehsan, S., & Hamdaoui, B. (2014). Rate-constrained data aggregation in power-limited multi-sink wireless sensor networks. In International wireless communications and mobile computing conference (IWCMC) (pp. 500–504).
121. Lou, E., Hill, D. L., & Raso, J. V. (2010). HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. Medical Biological and Engineering Computing, 48(3), 235–243.
122. Lindsey, S., Raghavendra, C., & Sivalingam, K. M. (2002). Data gathering algorithms in sensor networks using energy metrics. IEEE Transaction on Parallel and Distributed Systems, 13(9), 924–935.
123. Ding, M., Cheng, X., & Xue, G. (2003). Aggregation tree construction in sensor networks. In 2003 IEEE 58th vehicular technology conference VTC 2003-Fall (IEEE Cat. No.03CH37484) (Vol. 4, pp. 2168–2172).
124. Xue, Y., Cui, Y., & Nahrstedt, K. (2005). Maximizing lifetime for data aggregation in wireless sensor networks. Mobile Networks and Applications, Special Issue on Energy Constraints and Lifetime Performance in Wireless Sensor Networks, 10(6), 853–864.
125. Hong, B., & Prasanna, V. K. (2004). Optimizing system life time for data gathering in network sensor systems. In Proceeding of algorithms wireless and ad-hoc networks.
126. Cristescu, R., Beferull-Lozano, B., & Vetterli, M. (2004). On network correlated data gathering. IEEE INFOCOM, 4(4), 2571–2582.