Research Article
An Intelligent Approach for Optimizing Energy-Efficient Packets Routing in the Smart Grid Internet of Things
@INPROCEEDINGS{10.1007/978-3-030-69514-9_21, author={Chih-Kun Ke and Mei-Yu Wu and Chia-Yu Chen}, title={An Intelligent Approach for Optimizing Energy-Efficient Packets Routing in the Smart Grid Internet of Things}, proceedings={Smart Grid and Internet of Things. 4th EAI International Conference, SGIoT 2020, TaiChung, Taiwan, December 5--6, 2020, Proceedings}, proceedings_a={SGIOT}, year={2021}, month={7}, keywords={Internet of Things Packet routing Energy-efficient Artificial bee colony algorithm Multi-criteria decision analysis}, doi={10.1007/978-3-030-69514-9_21} }- Chih-Kun Ke
Mei-Yu Wu
Chia-Yu Chen
Year: 2021
An Intelligent Approach for Optimizing Energy-Efficient Packets Routing in the Smart Grid Internet of Things
SGIOT
Springer
DOI: 10.1007/978-3-030-69514-9_21
Abstract
This work proposes a multi-criteria artificial bee colony (MABC) algorithm to optimize the energy consumption problem in wireless sensor networks. The approach uses the artificial bee colony (ABC) algorithm to discover sensor nodes in a network as a cluster header combination. Different nodes are dynamically selected according to their current status in the network. The purpose is to cluster sensor nodes in the network in such a way that nodes can transmit packets to their cluster header, and then identify the most energy efficient packet routing from the cluster headers to the Internet of Things (IoT) base station. The routing strategy takes into account nodes’ residual energy and energy consumption, routing distance, number of hops, and frequency, in order to assign decision scores to help the algorithm discover a better solution. The use case shows that the MABC algorithm provides energy-efficient packet routing, and thus extends the wireless sensor network lifespan, which is confirmed by the multi-criteria analysis evaluation of the candidate routing. The contribution of this research is its use of swarm intelligence algorithms in wireless sensor network routing, with a multi-criteria artificial bee colony algorithm used in a wireless sensor network to address the problem of fast convergence of the algorithm.
