Abstract
SARA algorithm is a self-adaptive wireless sensor network (WSN) routing algorithm. It can, depending on the parameter values, select a different network performance metrics for path selection. SARA algorithm takes three performance indicators into account: network life cycle, network delay, network reliability .By adjusting the proportion of each of the three performance indicators, SARA is able to fulfill the network requirements of a longer life cycle, shorter delay network and a higher reliability. In this paper, an experimental study of the SARA life is conducted and an energy model is formulated in order to prove the efficiency of the network performance. Furthermore, the established energy model proves the energy performance of SARA and its superiority in energy consumption by laboratory analysis, compared with LEACH algorithm.
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References
Guo, D., Jia, C.: A WSN routing algorithm using overpayment on complex network. In: 5th International Conference on Intelligent Computation Technology and Automation, ICICTA 2012 (2012)
Sun, H., Fang, Z., Wang, T., Ma, Y., Ren, N.: CDHL: A hybrid range-free localization algorithm in wireless sensor networks. In: Proceedings - 5th International Conference on Frontier of Computer Science and Technology, FCST 2010, pp. 180–183 (2010)
Fang, Z., Liu, Z., Ma, Y., Sun, H., Ren, N.: A new coordinate correction localization theory and its implementation mechanism in wireless sensor networks. Journal of Information and Computational Science 8(1), 23–28 (2011)
Hong, L., Yang, J.: An Energy-Balance Multipath Routing based on Rumor Routing for Wireless Sensor Networks. In: Fifth International Conference on Natural Computation, pp. 87–91 (2009)
Hun, X.-B., Leeson, M.S., Hines, E.L.: An effective genetic algorithm for network coding, pp. 952–963. Elsevier (2012)
Lei, Y., Shang, F., Long, Z., Ren, Y.: An energy efficient multiple-hop routing protocol for wireless sensor networks. In: Proceedings - The 1st International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2008, pp. 147–150 (2008)
Yang, Y., Zhong, C., Sun, Y., Yang, J.: Network coding based reliable disjoint and braided multipath routing for sensor networks. Journal of Network and Computer Applications 33, 422–432 (2010)
Yin, L., Wang, C., Ien, G.E.: On the minimization of communication energy consumption of correlated sensor nodes. Wireless Personal Communications 50(1), 57–67 (2009)
Minhas, M.R., Gopalakrishnan, S., Leung, V.: An online multipath routing algorithm for maximizing lifespan in wireless sensor networks. In: Proceedings of the Sixth International Conference on Information Technology: New Generations, 2008, pp. 581–586 (2009)
Cheng, W., Xing, K., Cheng, X., Lu, X., Lu, Z., Su, J., et al.: Route recovery in vertex-disjoint multipath routing for many-to-one sensor networks. In: Proceedings of MobiHoc 2008, Hong Kong SAR, China, pp. 209–219 (May 2008)
Jung, S., Lee, J., Roh, B.: An optimized node-disjoint multi-path routing protocol for multimedia data transmission over wireless sensor networks. In: Proceedings of International Symposium on Parallel and Distributed Processing and Applications (ISPA), pp. 958–963 (December 2008)
Chao, H.L., Chang, C.L.: A fault-tolerant routing protocol in wireless sensor networks. International Journal of Sensor Networks 3(1), 66–73 (2008)
Wu, S., Candan, K.S.: Power-aware single- and multipath geopraphic routing in sensor networks. Ad Hoc Networks 5, 974–997 (2007)
Zhai, Y., Yang, O.W.W., Wang, W., Shu, Y.: Implementing multipath source routing in a wireless ad hoc network testbed. In: Proceedings of IEEE Pacific RIM Conference on Communications, Computers and Signal Processing (PACRIM), pp. 292–295 (2005)
Lou, W., Liu, W., Zhang, Y.: Performance optimization using multipath routing in mobile ad hoc and wireless sensor networks. Combinatorial Optimization in Communication Networks 18, 117–146 (2006)
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Pang, B., Fang, Z., Sun, H., Han, M., Nie, X. (2012). Energy Model of SARA and Its Performance Analysis. In: Wang, F.L., Lei, J., Gong, Z., Luo, X. (eds) Web Information Systems and Mining. WISM 2012. Lecture Notes in Computer Science, vol 7529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33469-6_58
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DOI: https://doi.org/10.1007/978-3-642-33469-6_58
Publisher Name: Springer, Berlin, Heidelberg
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