Particle swarm optimization based clustering algorithm with mobile sink for WSNs

Future Generation Computer Systems

Volumn 76, Issue , 2017, Pages 452-457

  Wang, Jin ^a   Cao, Yiquan ^a   Li, Bin ^a   Kim, Hye jin ^b   Lee, Sungyoung ^c,d  

^a YANGZHOU UNIVERSITY   (China)

^b Sungshin Women's University   (South Korea)

^c NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^d Kyung Hee University   (South Korea)

Author keywords

Energy consumption; Particle swarm optimization; Sink mobility; Wireless sensor network

Indexed keywords

ENERGY EFFICIENCY; ENERGY UTILIZATION; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); SENSOR NODES; WIRELESS SENSOR NETWORKS;

CLUSTERING TECHNIQUES; CONTROL STRATEGIES; EXTENSIVE SIMULATIONS; NETWORK LIFETIME; PARTICLE SWARM OPTIMIZATION ALGORITHM; PRIMARY PARAMETERS; SINK MOBILITY; TRANSMISSION DELAYS;

CLUSTERING ALGORITHMS;

EID: 84995488121     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2016.08.004     Document Type: Article

References (25)

1. Yick, J., Mukherjee, B., Ghosal, D., Wireless sensor network survey. Comput. Netw. Int. J. Comput. Telecommun. Netw. 52:12 (2008), 2292–2330.
2. Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E., Wireless sensor networks: a survey. Comput. Netw. 38:4 (2002), 393–422.
3. Zahmati, A.S., Abolhassani, B., Beheshti Shirazi, A., Bakhtiari, A.S., An energy-efficient protocol with static clustering for wireless sensor networks. Int. J. Electron. Circuits Syst., 2007, 69.
4. Younis, O., Fahmy, S., HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Trans. Mob. Comput. 3:4 (2004), 366–379.
5. Wei, D., Jin, Y., Vural, S., An energy-efficient clustering solution for wireless sensor networks. IEEE Trans. Wireless Commun. 10:11 (2011), 3973–3983.
6. W. Heinzelman, A. Chandrakasan, H. Balakrishnan, Energy-efficient protocol for wireless microsensor networks, in: Proc. of Hawaii International Conference on System Sciences, 2000, pp. 3005–3014.
7. W. Liang, J. Luo, X. Xu, Prolonging network lifetime via a controlled mobile sink in wireless sensor networks, in: Proc. of IEEE Global Telecommunications Conference, 2010, pp. 1–6.
8. K. Tian, B. Zhang, K. Huang, J. Ma, Data gathering protocols for wireless sensor networks with mobile sinks, in: Proc. of IEEE Global Telecommunications Conference, 2010, pp. 1–6.
9. Luo, H., Ye, F., Cheng, J., Lu, S., Zhang, L., TTDD: Two-tier data dissemination in large-scale wireless sensor networks. Wirel. Netw. 11:1–2 (2005), 161–175.
10. Chen, H., Shi, Q., Tan, R., Poor, H., Sezaki, K., Mobile element assisted cooperative localization for wireless sensor networks with obstacles. IEEE Trans. Wireless Commun. 9:3 (2010), 956–963.
11. Salarian, H., Chin, K.W., Naghdy, F., An energy-efficient mobile-sink path selection strategy for wireless sensor networks. IEEE Trans. Veh. Technol. 63:5 (2014), 2407–2419.
12. Lin, Z., Zhang, H., Wang, Y., Yao, F., Energy-efficient routing protocol on mobile sink in wireless sensor network. Adv. Mater. Res. 787 (2013), 1050–1055.
13. Gu, Y., Ji, Y., Li, J., Zhao, B., ESWC: Efficient scheduling for the mobile sink in wireless sensor networks with delay constraint. IEEE Trans. Parallel Distrib. Syst. 24:7 (2013), 1310–1320.
14. Zheng, W., Liu, S., Kou, L., Dynamic mobile agent routing algorithm in sensor network. Control Decis. 25:7 (2010), 1035–1039.
15. 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., 2014, 1–14.
16. Liang, Y., Yu, H., PSO-based energy efficient gathering in sensor networks. Lecture Notes in Comput. Sci. 3794 (2005), 362–369.
17. Zhong, M., Shen, K., Seiferas, J., The convergence-guaranteed random walk and its applications in peer-to-peer networks. IEEE Trans. Comput. 57:5 (2008), 619–633.
18. Campello Oliveira, S., Andrade Duarte, G., Beltrao Cunha, H., Unified coordination-communication strategy to swarm controlled mobile wireless sensor network. IEEE Lat. Am. Trans. 12:5 (2014), 951–956.
19. Tashtaria, F., Hossein, Y.M., Sohraby, K., Effati, S., On maximizing the lifetime of wireless sensor networks in event-driven applications with mobile sinks. IEEE Trans. Veh. Technol. 64:7 (2015), 3177–3189.
20. J. Kennedy, R. Eberhart, Particle swarm optimization, in: Proc. of IEEE International Conference on Neural Networks, 1995, pp. 1942–1948.
21. Yang, J., Zhang, H., Ling, Y., Pan, C., Sun, W., Task allocation for wireless sensor network using modified binary particle swarm optimization. IEEE Sens. J. 14:3 (2014), 882–892.
22. Mini, S., Udgata, S.K., Sabat, S.L., Sensor deployment and scheduling for target coverage problem in wireless sensor networks. IEEE Sens. J. 14:3 (2014), 636–644.
23. Singh, B., Lobiyal, D.K., A novel energy-aware cluster head selection based on particle swarm optimization for wireless sensor networks. Hum.-Centric Comput. Inf. Sci. 2:1 (2012), 1–18.
24. Guo, P., Wang, J., Li, B., Lee, S.Y., A variable threshold-value authentication architecture for wireless mesh networks. J. Internet Technol. 15:6 (2014), 929–936.
25. Shen, J., Tan, H., Wang, J., Wang, J., Lee, S.Y., A novel routing protocol providing good transmission reliability in underwater sensor networks. J. Internet Technol. 16:1 (2015), 171–178.