A
wireless sensor network consists of hundreds or thousands of small nodes which
could either have a static or dynamic position. These nodes are deployed
through normal or random distribution to report events of a particular area to
the base station through sink nodes. Having limited onboard energy of sensor
nodes, conservation of energy in wireless sensor network is necessary. For this
purpose, a new algorithm is proposed titled Energy-Efficient-Direction-Based-Topology-Control-Algorithm
(EEDBTC). In proposed algorithm, direction is the main concern whenever an event occurs the node will send data
in the direction of base station so that less energy is consumed. The results of the same were compared with customary
dense wireless sensor network, color based WSNs and it was observed that
this algorithm is much better than previous topology control algorithms used.
References
[1]
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y. and Cayirci, E. (2002) Wireless Sensor Networks: A Survey. Computer Networks, 38, 393-422.
https://doi.org/10.1016/S1389-1286(01)00302-4
[2]
Ilyas, M. and Mahgoub, I. (2005) Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems. CRC Press, Boca Raton.
https://doi.org/10.1201/9780203489635
[3]
Raghunathan, V., Schurghers, C., Park, S. and Srivastava, M. (2002) Energy-Aware Wireless Microsensor Networks. IEEE Signal Processing Magazine, 19, 40-50.
https://doi.org/10.1109/79.985679
[4]
Akkaya, K. and Younis, M. (2004) Energy-Aware to Mobile Gateway in Wireless Sensor Networks. Proceedings of the IEEE Globecom, Dallas, 29 November-3 December 2004, 16-21.
[5]
Anastasi, G., Coti, M., Frrancesco, M. and Passarella, A. (2009) Energy Conservation in Wireless Sensor Networks: A Survey. Ad Hoc Networks, 7, 537-568.
https://doi.org/10.1016/j.adhoc.2008.06.003
[6]
Akyildiz, I.F. and Kasimoglu, I.H. (2004) Wireless Sensor and Actor Networks: Research Challenges. Ad Hoc Networks Journal, 2, 351-367.
https://doi.org/10.1016/j.adhoc.2004.04.003
[7]
Khan, M.A. (2013) An Energy Efficient Color Based Topology Control Algorithm for Wireless Sensor Networks. http://www.scirp.org/journal/wsn
[8]
Meyer Heide, F., Schindelhauer, C., Volbert, K. and Grunewald, M. (2002) Energy, Congestion and Dilation in Radio Networks. 14th ACM Symposium Parallel Algorithms and Architectures, Winnipeg, August 2002.
[9]
Santi, P. (2005) Topology Control in Wireless Ad Hoc and Sensor Networks. Wiley, New York. https://doi.org/10.1002/0470094559
[10]
Rickenbach, P.V., Wattenhofer, R. and Zollinger, A. (2009) Algorithmic Models of Interference in Wireless Ad Hoc and Sensor Networks. IEEE/ACM Transactions on Networking, 17, 172-185. https://doi.org/10.1109/TNET.2008.926506
[11]
Li, X.-Y., Wang, Y., Wan, P.-J. and Frieder, O. (2004) Localized Low Weight Graph and Its Application in Wireless Ad Hoc Networks. IEEE INFOCOM, Vol. 1, 442.
https://doi.org/10.1109/INFCOM.2004.1354515
[12]
Li, X.-Y., Wang, Y. and Song, W.-Z. (2004) Application of k-Local MST for Topology Control and Broadcasting in Wireless Ad Hoc Networks. IEEE Transactions on Parallel and Distributed Systems, 15, 1057-1069.
https://doi.org/10.1109/TPDS.2004.77
[13]
Moscibroda, T. and Wattenhofer, R. (2005) Minimizing Interference in Ad Hoc and Sensor Networks. Proceedings of the 2005 Joint Work Shop on Foundations of Mobile Computing, September 2005, 24-33. https://doi.org/10.1145/1080810.1080816
[14]
He, Y. and Zeng, Y. (2006) Topology Control in Wireless Sensor Networks with Interference Consideration. In: Intelligent Control and Automation, Lecture Notes in Control and Information Sciences, Vol. 344, Springer, Berlin, 202-206.
https://doi.org/10.1007/11816492_28
[15]
Li, L., Halpern, J.Y., Bahl, P., Wang, Y.-M. and Wattenhofer, R. (2001) Analysis of Conebased Distributed Topology Control Algorithms for Wireless Multi-Hop Networks. ACM Symposium on Principle of Distributed Computing, August 2001, 264-273. https://doi.org/10.1145/383962.384043
[16]
Burkhart, M., Rickenbach, P.V., Wattenhofer, R. and Zollinger, A. (2004) Does Topology Control Reduce Interference. Proceedings of ACM MOBIHOC, May 2004, 9-19. https://doi.org/10.1145/989459.989462
[17]
Roy, A. and Sarma, N. (2010) Energy Saving in MAC Layer of Wireless Sensor Networks: A Survey. National Workshop in Design and Analysis of Algorithm.
[18]
Younis, M. and Akkaya, K. (2008) Strategies and Techniques for Node Placement in Wireless Sensor Networks: A Survey. Ad Hoc Networks, 6, 621-655.
https://doi.org/10.1016/j.adhoc.2007.05.003
[19]
Karl, H. and Willig, A. (2005) Protocols and Architectures for Wireless Sensor Networks. John Wiley & Sons, Hoboken. https://doi.org/10.1002/0470095121
[20]
Santi, P. (2005) Topology Control in Wireless Ad Hoc and Sensor Networks. John Wiley & Sons, Hoboken, 27-95. https://doi.org/10.1002/0470094559.ch3
[21]
Suh, C., Ko, Y.-B., Lee, C.-H. and Kim, H.-J. (2006) Numerical Analysis of the Idle Listening Problem in IEEE 802.15.4 Beacon-Enable Mode. First International Conference on Communications and Networking in China, Beijing, 25-27 October 2006.
[22]
Aziz, N.A.A., Aziz, K.A.B. and Ismail, W.Z.W. (2009) Coverage Strategies for Wireless Sensor Networks. World Academy of Science, Engineering and Technology, 50, 145-150.
[23]
Wu, C.-H. and Chung, Y.-C. (2007) Heterogeneous Wireless Sensor Network Deployment and Topology Control Based on Irregular Sensor Model. International Conference on Grid and Pervasive Computing, Paris, 2-4 May 2007, 78-88.
