Efficient data collection in sensor-cloud system with multiple mobile sinks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 10065 LNCS, Issue , 2016, Pages 130-143

  Li, Yang ^a   Wang, Tian ^a   Wang, Guojun ^b   Liang, Junbin ^c   Chen, Hongyu ^d  

^a HUAQIAO UNIVERSITY   (China)

^b GUANGZHOU UNIVERSITY   (China)

^c GUANGXI UNIVERSITY   (China)

^d Shijiazhuang Kelin Electric Co Ltd   (China)

Author keywords

Energy; Latency; Multiple mobile sinks; Sensor cloud

Indexed keywords

DATA HANDLING; DIGITAL STORAGE; ENERGY UTILIZATION; WIRELESS SENSOR NETWORKS;

ENERGY; EXTENSIVE SIMULATIONS; LATENCY; MULTIPLE MOBILE SINKS; PROCESSING ABILITY; PROVABLE PROPERTIES; STORAGE ABILITIES; WIRELESS SENSOR NETWORK (WSNS);

DISTRIBUTED COMPUTER SYSTEMS;

EID: 84996541764     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-49178-3_10     Document Type: Conference Paper

References (22)

1. Cammarano, A., Spenza, D., Petrioli, C.: Energy-harvesting WSNs for structural health monitoring of underground train tunnels. In: Computer Communications Workshops (INFOCOM WKSHPS), pp. 75–76. IEEE (2013)
2. Harrison, D.C., Seah, W.K., Rayudu, R.: Rare event detection and propagation in wireless sensor networks. ACM Comput. Surv. (CSUR) 48(4), 58–81 (2016)
3. Gupta A., Mukherjee N.: Implementation of virtual sensors for building a sensor-cloud environment. In: 2016 8th International Conference on Communication Systems and Networks (COMSNETS), pp. 1–8. IEEE (2016)
4. Guezguez, M.J., Rekhis, S., Boudriga, N.: A sensor cloud architecture for healthcare applications. In: Proceedings of the 31st Annual ACM Symposium on Applied Computing, pp. 612–617. ACM (2016)
5. Zhang, J., Long, J., Zhao, G., Zhang, H.: Minimized delay with reliability guaranteed by using variable width tiered structure routing in WSNs. Int. J. Distrib. Sensor Netw. 2015(4), 1–12 (2015)
6. Kim, D., Uma, R., Abay, B.H., Wu, W., Wang, W., Tokuta, A.O.: Minimum latency multiple data mule trajectory planning in wireless sensor networks. IEEE Trans. Mob. Comput. 13(4), 838–851 (2014)
7. Zhao, M., Yang, Y., Wang, C.: Mobile data gathering with load balanced clustering and dual data uploading in wireless sensor networks. IEEE Trans. Mob. Comput. 14(4), 770–785 (2015)
8. Wang, T., Peng, Z., Wang, C., Wang, C., Cai, Y.Q., Chen, Y.H., Tian, H., Liang, J.B., Zhong, B.N.: Extracting target detection knowledge based on spatiotemporal information in wireless sensor networks. Int. J. Distrib. Sensor Netw. 2016(1), 1–11 (2016)
9. Wang, T., Peng, Z., Chen, Y., Cai, Y.Q., Tian, H.: Continuous tracking for mobile targets with mobility nodes in WSNs. In: 2014 International Conference on Smart Computing (SMARTCOMP), pp. 261–268. IEEE (2014)
10. Wang, T., Jia, W., Wang, G., Guo, M.: Hole avoiding in advance routing with hole recovery mechanism in wireless sensor networks. Adhoc Sensor Wirel. Netw. 16(1), 191–213 (2012)
11. Jose, D.V., Sadashivappa, G.: A novel scheme for energy enhancement in wireless sensor networks. In: 2015 International Conference on Computation of Power, Energy Information and Communication (ICCPEIC), pp. 0104–0109. IEEE (2015)
12. Tunca, C., Isik, S., Donmez, M.Y., Ersoy, C.: Ring routing: An energy-efficient routing protocol for wireless sensor networks with a mobile sink. IEEE Trans. Mob. Comput. 14(9), 1947–1960 (2015)
13. Arquam, M., Gupta, C., Amjad, M.: Delay constrained routing algorithm for WSN with mobile sink. In: 2014 IEEE 17th International Conference on Computational Science and Engineering (CSE), pp. 1449–1454. IEEE (2014)
14. Hou, G., Wu, X., Huang, C., Xu, Z.: A new efficient path design algorithm for wireless sensor networks with a mobile sink. In: 2015 27th Chinese Control and Decision Conference (CCDC), pp. 5972–5977. IEEE (2015)
15. Hu, Y.F., Ding, Y.S., Ren, L.H., Hao, K.R., Han, H.: An endocrine cooperative particle swarm optimization algorithm for routing recovery problem of wireless sensor networks with multiple mobile sinks. Inf. Sci. 300(10), 100–113 (2015)
16. Madhumathy, P., Sivakumar, D.: Enabling energy efficient sensory data collection using multiple mobile sink. Communications 11(10), 29–37 (2014). China
17. Krishnan, A.M., Kumar, P.G.: An effective clustering approach with data aggregation using multiple mobile sinks for heterogeneous WSN. Wirel. Pers. Commun. 2015(1), 1–12 (2015)
18. Di, F.M., Das, S.K., Anastasi, G.: Data collection in wireless sensor networks with mobile elements: a survey. ACM Trans. Sensor Netw. (TOSN) 8(1), 1–31 (2011)
19. Wichmann, A., Korkmaz, T.: Smooth path construction and adjustment for multiple mobile sinks in wireless sensor networks. Comput. Commun. 72(1), 93–106 (2015)
20. Shi, J., Wei, X., Zhu, W.: An efficient algorithm for energy management in wireless sensor networks via employing multiple mobile sinks. Int. J. Distrib. Sensor Netw. 2016(9), 1–9 (2016)
21. Wang, J., Zhang, Y., Cheng, Z., Zhu, X.: EMIP: energy-efficient itinerary planning for multiple mobile agents in wireless sensor network. Telecommun. Syst. 62(1), 93–100 (2015)
22. Zhu, C., Leung, V., Yang, L.T., Shu, L.: Collaborative location-based sleep scheduling for wireless sensor networks integrated with mobile cloud computing. IEEE Trans. Comput. 64(7), 1844–1856 (2015)