Dynamic base station positioning algorithm for wireless sensor networks
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2017 by IJCTT Journal|
|Year of Publication : 2017|
|Authors : Ahmed Salim|
|DOI : 10.14445/22312803/IJCTT-V53P108|
Ahmed Salim "Dynamic base station positioning algorithm for wireless sensor networks". International Journal of Computer Trends and Technology (IJCTT) V53(1):44-48, November 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Clustering is one of the most popular approaches used for energy efficiency in wireless sensor networks (WSNs). We considered a clustered based WSN with a mobile base station (BS). In this paper, after cluster head (CH) nodes election and cluster formation, the best location of the BS is specified with respect to the CHs. The location of the BS is determined so that the minimum energy cost is imposed for data communication; this is because the energy consumption depends on the distance between the cluster heads and the BS. Simulation results show that the proposed algorithm has a more advantage in energy conservation.
 Jennifer Yick, Biswanath Mukherjee, Dipak Ghosal, Wireless sensor network survey, ComputerNetwork, 52 (12) (2008) 2292-2330.
 V. Potdar, A. Sharif, E. Chang, Wireless sensor networks: A survey, in: Advanced Information Networking and Applications Workshops, 2009. WAINA `09. International Conference on, 2009, pp. 636-641.
 A. C. W. R. Heinzelman, H. Balakrishnan, Energy- efficient communication protocol for wireless microsensor networks, Proceedings of the 33rd Hawaii International Conference on System Sciences (2000) 1-10.
 C.-j. J. Y. Z. Min X, Wei-ren S, Energy efficient clustering algorithm for maximizing lifetime of wireless sensor networks., J AEU-International Journal of Electronics and Communications 64 (2010) 289298.
 7X. Liu, A survey on clustering routing protocols in wireless sensor networks. Sensors (14248220) 12 (8) (2012) 11113-11153.
 9C. Intanagonwiwat, R. Govindan, D. Estrin, J. Heidemann, F. Silva, Directed diffusion for wireless sensor networking, IEEE/ACM Trans. Netw.11 (1) (2003) 2-16.
 11C.-M. Liu, C.-H. Lee, L.-C. Wang, Distributed clustering algorithms for data-gathering in wireless mobile sensor networks, Journal of parallel and distributed computing 67 (11) (2007) 1187-1200.
 12P. Rawat, K. Singh, H. Chaouchi, J. Bonnin, Wireless sensor networks: a survey on recent developments and potential synergies, The Journal of Supercomputing 68 (1) (2014) 1-48. doi:10.1007/s11227-013-1021-9.
 13K. Akkaya, M. Younis, W. Youssef, Positioning of base stations in wireless sensor networks, Communications Magazine, IEEE 45 (4) (2007) 96-102. doi:10.1109/MCOM.2007.343618.
 14B. Paul, M. A. Matin, M. J. Showkat, Z. Rahman, Optimal placement of base stations in a two tiered wireless sensor network, WTOC 9 (1) (2010) 43-52. URL http://dl.acm.org/citation.cfm?id=1852321.1852326.
 15R. Alageswaran, R. Usha, R. Gayathridevi, G. Kiruthika, Design and implementation of dynamic sink node placement using particle swarm optimization for lifetime maximization of WSN applications, in: Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on, 2012, pp. 552-555.
 16B. Nazir, H. Hasbullah, Mobile sink based routing protocol (MSRP) for prolonging network lifetime in clustered wireless sensor network, in: Computer Applications and Industrial Electronics (ICCAIE), 2010 International Conference on, 2010, pp. 624-629. doi:10.1109/ICCAIE.2010.5735010.
 17B. Yanzhong, S. Limin, M. Jian, L. Na, K. Imran Ali, C. Canfeng, Hums: An autonomous moving strategy for mobile sinks in data-gathering sensor networks, EURASIP Journal on Wireless Communications and Networking (2007) 1-15.
 18M. A. Mizher, S. H. Al-Sharaeh, M. C. Ang, A. M. Abdalla, M. A. Mizher, Centroid dynamic sink location for clustered wireless mobile sensor networks, Journal of Theoretical and Applied Information Technology 73 (3) (2015) 481-491.
 19C.-g. Tan, K. Xu, J.-x. Wang, S.-q. Chen, A sink moving scheme based on local residual energy of nodes in wireless sensor networks, Journal of Central South University of Technology 16 (2) (2009) 265-268.
 21M. Khodashahi, F. Tashtarian, M. Moghaddam, M. Honary, Optimal location for mobile sink in wireless sensor networks, in: Wireless Communications and Networking Conference (WCNC), 2010 IEEE, 2010, pp. 16. doi:10.1109/WCNC.2010.5506171.
 22F. Tashtarian, M. Moghaddam, S. Effati, Energy efficient data gathering algorithm in hierarchical wireless sensor networks with mobile sink, in: Computer and Knowledge Engineering (ICCKE), 2012 2nd International eConference on, 2012, pp. 232-237. doi:10.1109/ICCKE.2012.6395384.
Wireless sensor networks, clustered based network, mobile base station, LEACH, Data-gathering.