Abstract—In wireless sensor networks (WSNs), realizing the network life cycle maximization is still a huge challenge due to the problems of energy constraint. In this paper, we propose Modified Multi-source Opportunistic Shortcut Routing Algorithm (MMOSRA), which is on the basis of the shortest remaining hops MOSRA algorithm, we add the new parameter ERHi according to the weight value of energy-hop for achieving the purpose of balancing sensor nodes energy consumption. When one flow changes its routing path for some emergency, we can find a optimized routing path with the MMOSRA algorithm and avoid that a slid change in one link causing a huge oscillation of all the network link. Next we use the measured parameters that condition number K(A) of routing matrix to evaluate the impact on the entire network link and select data transmission routing path finally. Compared with the MOSRA algorithm, the MMOSRA rationally utilize residual energy of each node to prolong the network life cycle. Example and simulation demonstrate that our proposed scheme has significantly increased the network lifetime and balanced energy utilization efficiency of all nodes.
Index Terms—Condition number, ill-Conditioned, life cycle maximization, routing matrix, wireless sensor network.
Yanjiao Zhang, Liansheng Tan and Yan Wang are with the Computer Science Department, Central China Normal University, Wuhan 430079, PR China. (Emails: wangyan@mails.ccnu.edu.cn, l.tan@mail.ccnu.edu.cn, zhangyanjiao@mails.ccnu.edu.cn).
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Cite:Yanjiao Zhang, Liansheng Tan, and Yan Wang, "An Adaptive and Robust Routing Approach in Wireless Sensor Networks," Journal of Advances in Computer Networks vol. 5, no. 1, pp. 22-28, 2017.
