Abstract
The APTEEN routing protocol has been widely used due to its practicability. But it exists the problems of uneven network energy consumption, premature death of some nodes and low effective coverage of the whole network. To solve these problems, this paper uses the genetic algorithm to optimize the APTEEN routing protocol. By adding residual energy, distance from node to base station, distance from node to geometric center of the whole network, node degree and other selection factors to cluster heads selection, the genetic algorithm is used to select cluster heads for the first time, and the second cluster heads selection based on density adaptive algorithm. Some nodes are selected to sleep according to the position and degree of nodes. The residual energy of cluster head, the distance between node and cluster head, and the number of cluster members are taken into account when nodes join clusters, and the GA-APTEEN routing protocol is obtained through the above optimization. The simulation results show that the GA-APTEEN improves the lifetime, coverage and robustness of the network, reduces the energy consumption of the overall network system and avoids the phenomenon of the hot zone of energy.
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Acknowledgements
Shubin Wang (wangshubin@imu.edu.cn) is the correspondent author and this work was supported by the National Natural Science Foundation of China (61761034), and the Natural Science Foundation of Inner Mongolia, China (2016MS0616).
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Wang, M., Wang, S., Zhang, B. (2020). Optimization of APTEEN Routing Protocol for Wireless Sensor Networks Based on Genetic Algorithm. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_84
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DOI: https://doi.org/10.1007/978-981-13-9409-6_84
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