Fast Approximate Algorithms for Maximum Lifetime Routing in Wireless Ad-hoc Networks
NETWORKING '00 Proceedings of the IFIP-TC6 / European Commission International Conference on Broadband Communications, High Performance Networking, and Performance of Communication Networks
Efficient algorithms for maximum lifetime data gathering and aggregation in wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Lifetime Modeling of a Sensor Network
Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
Wireless Sensor Network Lifetime Analysis Using Interval Type-2 Fuzzy Logic Systems
IEEE Transactions on Fuzzy Systems
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As large amount of energy constrained nodes are randomly distributed in network, the entire lifetime of wireless sensor network is difficult to estimate. In this paper, a back propagation (BP) neural network based Markov model is presented to calculate the lifetime of wireless sensor network. BP neural network is employed to reduce the calculation difficulty of Markov state equation. The simulation results indicate that this method gives the value of maximum lifetime exactly and its computing complexity is low. The quantitative degree of computing reliability relative error between the results of three layer BP neural network and the Markov model is 10*** 4.