Optimal Deployment of Solar Insecticidal Lamps over Constrained Locations in Mixed-Crop Farmlands

Yang, Fan, Shu, Lei, Yang, Yuli , Han, Guangjie, Pearson, Simon and Li, Kailiang (2021) Optimal Deployment of Solar Insecticidal Lamps over Constrained Locations in Mixed-Crop Farmlands. IEEE Internet of Things Journal . ISSN 2327-4662

Full content URL: https://ieeexplore.ieee.org/document/9371021

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Optimal Deployment of Solar Insecticidal Lamps over Constrained Locations in Mixed-Crop Farmlands
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Abstract

Solar Insecticidal Lamps (SILs) play a vital role in green prevention and control of pests. By embedding SILs in Wireless Sensor Networks (WSNs), we establish a novel agricultural Internet of Things (IoT), referred to as the SILIoTs. In practice, the deployment of SIL nodes is determined by the geographical characteristics of an actual farmland, the constraints on the locations of SIL nodes, and the radio-wave propagation in complex agricultural environment. In this paper, we mainly focus on the constrained SIL Deployment Problem (cSILDP) in a mixed-crop farmland, where the locations used to deploy SIL nodes are a limited set of candidates located on the ridges. We formulate the cSILDP in this scenario as a Connected Set Cover (CSC) problem, and propose a Hole Aware Node Deployment Method (HANDM) based on the greedy algorithm to solve the constrained optimization problem. The HANDM is a two-phase method. In the first phase, a novel deployment strategy is utilised to guarantee only a single coverage hole in each iteration, based on which a set of suboptimal locations is found for the deployment of SIL nodes. In the second phase, according to the operations of deletion and fusion, the optimal locations are obtained to meet the requirements on complete coverage and connectivity. Experimental results show that our proposed method achieves better performance than the peer algorithms, specifically in terms of deployment cost.

Keywords:Internet of things, wireless sensor networks, solar insecticidal lamp IoT, mixed-crop farmland, constrained sensor deployment
Subjects:H Engineering > H641 Telecommunications Engineering
H Engineering > H640 Communications Engineering
Divisions:College of Science > School of Engineering
ID Code:44192
Deposited On:25 Mar 2021 16:37

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