A distributed data storage protocol for heterogeneous wireless sensor networks with mobile sinks

Ad Hoc Networks

Volumn 11, Issue 5, 2013, Pages 1588-1602

  Maia, Guilherme ^a   Guidoni, Daniel L ^a   Viana, Aline C ^b   Aquino, Andre L L ^c   Mini, Raquel A F ^d   Loureiro, Antonio A F ^a  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^b INRIA SACLAY   (France)

^c FEDERAL UNIVERSITY OF ALAGOAS   (Brazil)

^d PONTIFICAL CATHOLIC UNIVERSITY OF MINAS GERAIS   (Brazil)

Author keywords

Distributed data storage; Heterogeneous wireless sensor networks; Mobile sinks

Indexed keywords

ACCEPTABLE PERFORMANCE; COMMUNICATION RANGE; DATA DISTRIBUTION; DISTRIBUTED DATA STORAGES; ENERGY-HOLE PROBLEMS; HETEROGENEOUS WIRELESS SENSOR NETWORKS; MOBILE SINKS; RESOURCE CONSTRAINT;

AD HOC NETWORKS; HARDWARE;

SENSOR NODES;

EID: 84878016515     PISSN: 15708705     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.adhoc.2013.01.004     Document Type: Article

References (38)

1. I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci Wireless sensor networks: a survey Computer Networks 38 4 2002 393 422
2. I.F. Akyildiz, M.C. Vuran, O.B. Akan, On exploiting spatial and temporal correlation in wireless sensor networks, in: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, 2004, pp. 71-80.
3. G. Anastasi, M. Conti, M. Di Francesco, Data collection in sensor networks with data mules: an integrated simulation analysis, in: IEEE Symposium on Computers and Communications, 2008, pp. 1096-1102.
4. A.L.L. Aquino, and E.F. Nakamura Data centric sensor stream reduction for real-time applications in wireless sensor networks Sensors 9 12 2009 9666 9688
5. Z. Bar-Yossef, R. Friedman, and G. Kliot RaWMS-random walk based lightweight membership service for wireless ad hoc networks ACM Transactions on Computer Systems 26 2008 5:1 5:66
6. S. Basagni, A. Carosi, E. Melachrinoudis, C. Petrioli, and Z.M. Wang Controlled sink mobility for prolonging wireless sensor networks lifetime Wireless Networks 14 2008 831 858
7. A. Boukerche, X. Cheng, J. Linus, Energy-aware data-centric routing in microsensor networks, in: 6th ACM international workshop on Modeling analysis and simulation of wireless and mobile systems, MSWIM, 2003, pp. 42-49.
8. A. Boukerche Performance evaluation of routing protocols for ad hoc wireless networks Mobile Networks and Applications 4 2004 333 342
9. A. Boukerche, Handbook of Algorithms for Wireless Networking and Mobile Computing, Chapman & Hall, CRC, 2005.
10. A. Boukerche Algorithms and Protocols for Wireless Sensor Networks 2008 Wiley-IEEE Press
11. C. Viana, T. Herault, T. Largillier, S. Peyronnet, F. Zaïdi, Supple: a flexible probabilistic data dissemination protocol for wireless sensor networks, in: 13th ACM International Conference on Modeling, analysis, and simulation of wireless and mobile systems, 2010, pp. 385-392.
12. D. Cavalcanti, D. Agrawal, J. Kelner, D. Sadok, Exploiting the small-world effect to increase connectivity in wireless ad hoc networks, in: 11th IEEE International Conference on Telecommunications, 2004.
13. I. Chatzigiannakis, A. Kinalis, and S. Nikoletseas Efficient data propagation strategies in wireless sensor networks using a single mobile sink Computer Communications 31 2008 896 914
14. J. Eriksson, M. Faloutsos, S. Krishnamurthy, Scalable ad hoc routing: the case for dynamic addressing, in: 23rd Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 2. 2010, pp. 1108-1119.
15. R. Friedman, G. Kliot, C. Avin, Probabilistic quorum systems in wireless ad hoc networks, in: 38th IEEE International Conference on Dependable Systems and Networks, 2008, pp. 277-286.
16. E.D.C. Group, Sinalgo-Simulator for Network Algorithms, 2008. < http://dcg.ethz.ch/projects/sinalgo/, http://dcg.ethz.ch/projects/sinalgo/ >.
17. E.B. Hamida, G. Chelius, A line-based data dissemination protocol for wireless sensor networks with mobile sink, in: IEEE International Conference on Communications, 2008, pp. 2201-2205.
18. A. Helmy Small worlds in wireless networks Communications Letters, IEEE 7 10 2003 490 492
19. J. Li, and P. Mohapatra Analytical modeling and mitigation techniques for the energy hole problem in sensor networks Pervasive Mobile Computing 3 2007 233 254
20. A.-F. Liu, X.-Y. Wu, Z.-G. Chen, and W.-H. Gui Research on the energy hole problem based on unequal cluster-radius for wireless sensor networks Computer Communications 33 3 2010 302 321
21. H. Luo, F. Ye, J. Cheng, S. Lu, and L. Zhang Ttdd: Two-tier data dissemination in large-scale wireless sensor networks Wireless Networks 11 2005 161 175
22. J. Luo, J. Panchard, M. Pirkowski, M. Grossglauser, J. Pierre Hubaux, Mobiroute: routing towards a mobile sink for improving lifetime in sensor networks, in: Sensor Networks in the 2nd IEEE/ACM DCOSS, 2006, pp. 480-497.
23. F. Marcelloni, and M. Vecchio A simple algorithm for data compression in wireless sensor networks IEEE Communications Letters 12 6 2008 411 413
24. E.F. Nakamura, A.A.F. Loureiro, and A.C. Frery Information fusion for wireless sensor networks: methods, models, and classifications ACM Computer Surveys 2007 39
25. S. Pattem, B. Krishnamachari, and R. Govindan The impact of spatial correlation on routing with compression in wireless sensor networks ACM Transactions on Sensor Networks 4 2008 24:1 24:33
26. R.W. Pazzi, and A. Boukerche Mobile data collector strategy for delay-sensitive applications over wireless sensor networks Computer Communications 31 5 2008 1028 1039
27. G. Sharma, and R. Mazumdar A case for hybrid sensor networks IEEE/ACM Transactions on Networking 16 5 2008 1121 1132
28. B. Sheng, Q. Li, W. Mao, Data storage placement in sensor networks, in: 7th ACM International symposium on Mobile Ad Hoc Networking and Computing, 2006, pp. 344-355.
29. B. Sheng, C.C. Tan, Q. Li, W. Mao, An approximation algorithm for data storage placement in sensor networks, in: International Conference on Wireless Algorithms Systems and Applications, 2007, pp. 71-78.
30. S. Shenker, S. Ratnasamy, B. Karp, R. Govindan, and D. Estrin Data-centric storage in sensornets SIGCOMM Computer Communication Review 33 2003 137 142
31. L. Song, and D. Hatzinakos Architecture of wireless sensor networks with mobile sinks: Sparsely deployed sensors IEEE Transactions on Vehicular Technology 56 4 2007 1826 1836
32. R. Urgaonkar, B. Krishnamachari, Flow: an efficient forwarding scheme to mobile sink in wireless sensor networks, in: Poster of IEEE SECON, 2004.
33. M. Vecchio, A.C. Viana, A. Ziviani, and R. Friedman Deep: density-based proactive data dissemination protocol for wireless sensor networks with uncontrolled sink mobility Elsevier Computer Communication 33 8 2010
34. A. Viana, A. Ziviani, and R. Friedman Decoupling data dissemination from mobile sink's trajectory in wireless sensor networks Communications Letters, IEEE 13 3 2009 178 180
35. M.C. Vuran, O.B. Akan, and I.F. Akyildiz Spatio-temporal correlation: theory and applications for wireless sensor networks Computer Networks 45 3 2004 245 259
36. X. Wu, G. Chen, and S. Das Avoiding energy holes in wireless sensor networks with nonuniform node distribution IEEE Transactions on Parallel and Distributed Systems 19 5 2008 710 720
37. H. Yang, F. Ye, B. Sikdar, Simple: Using swarm intelligence methodology to design data acquisition protocol in sensor networks with mobile sinks, in: INFOCOM 2006. 25th IEEE International Conference on Computer Communications. Proceedings, 2006, pp. 1-12.
38. J. Yick, B. Mukherjee, and D. Ghosal Wireless sensor network survey Computer Networks 52 2008 2292 2330