Abstract
To maximize network lifetime when node transmission power is fixed in wireless sensor networks, power control routing algorithm for maximizing lifetime (PCRAML) is proposed. The algorithm analyzes the constraint conditions such as node transmission rate constraint, link maximum transmission rate constraint and node energy constraint. Then, network optimization model is established. Subgradient algorithm is used to solve the network optimization model. It can obtain maximum network lifetime and node data transmission rate when node transmission power is determined by genetic algorithm. Genetic algorithm is used to iteratively select, cross and mutate the power populations. Finally node optimal transmission power, maximum network lifetime and optimal routing scheme are obtained. Simulation results show that PCRAML can obtain the optimal scheme of routing and node transmission power, balance network load and maximize network lifetime. Under certain conditions, PCRAML outperforms subgradient algorithms with fixed transmission power.
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Chen, Y., Hu, X., Yang, H., Ge, L. (2013). Power Control Routing Algorithm for Maximizing Lifetime in Wireless Sensor Networks. In: Jin, D., Lin, S. (eds) Advances in Mechanical and Electronic Engineering. Lecture Notes in Electrical Engineering, vol 178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31528-2_22
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DOI: https://doi.org/10.1007/978-3-642-31528-2_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31527-5
Online ISBN: 978-3-642-31528-2
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