Two-Hop Energy Consumption Balanced Routing Algorithm for Solar Insecticidal Lamp Internet of Things

Guo, Xuanchen, Shu, Lei, Yang, Xing , Nurellari, Edmond, Li, Kailiang, Du, Bangsong, Yao, Heyang and , (2021) Two-Hop Energy Consumption Balanced Routing Algorithm for Solar Insecticidal Lamp Internet of Things. Sensors, 22 (1). p. 154. ISSN 1424-8220

Full content URL: https://doi.org/10.3390/s22010154

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Two-Hop Energy Consumption Balanced Routing Algorithm for Solar Insecticidal Lamp Internet of Things
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Abstract

Due to the sparsity deployment of nodes, the full connection requirement, and the unpredictable electromagnetic interference on communication caused by high voltage pulse current of Solar Insecticidal Lamps Internet of Things (SIL-IoTs), a Two-Hop Energy Consumption Balanced routing algorithm (THECB) is proposed in this research work. THECB selects next-hop nodes according to 1-hop and 2-hop neighbors’ information. In addition, the greedy forwarding mechanism is expressed in the form of probability; that is, each neighbor node is given a weight between 0 and 1 according to the distance. THECB reduces the data forwarding traffic of nodes whose discharge numbers are relatively higher than those of other nodes so that the unpredictable electromagnetic interference on communication can be weakened. We compare the energy consumption, energy consumption balance, and data forwarding traffic over various discharge numbers, network densities, and transmission radius. The results indicate that THECB achieves better performance than Two-Phase Geographic Greedy Forwarding plus (TPGFPlus), which ignores the requirement of the node-disjoint path.

Keywords:energy consumption balanced routing;, Solar Insecticidal Lamps Internet of Things, geographic forwarding, two-hop information
Subjects:D Veterinary Sciences, Agriculture and related subjects > D411 Agricultural Pests and Diseases
H Engineering > H600 Electronic and Electrical Engineering
H Engineering > H640 Communications Engineering
D Veterinary Sciences, Agriculture and related subjects > D400 Agriculture
D Veterinary Sciences, Agriculture and related subjects > D470 Agricultural Technology
Divisions:College of Science > School of Engineering
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ID Code:47698
Deposited On:26 Jan 2022 14:38

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