Energy Efficient Mechanism for Reusing Mobile Nodes in WSN and IoT Networks

Temene, Natalie; Sergiou, Charalampos; Ioannou, Christiana; Georgiou, Chryssis; Vassiliou, Vasos

doi:10.1109/dcoss52077.2021.00054

Cited by 3 publications

(1 citation statement)

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“…A preliminary version of the Node Placement Algorithm is presented in [8], while a preliminary version of the Energy Node Placement Algorithm appeared in [9]. The current work extends the discussion and findings of these previous research works and evaluates them against multiple energy models inspired by different types of mobile robots.…”

Section: Introductionmentioning

confidence: 63%

A Node Placement Algorithm Utilizing Mobile Nodes in WSN and IoT Networks

Temene

Sergiou

Ioannou

et al. 2022

Telecom

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The operation of the Internet of Things (IoT) networks and Wireless Sensor Networks (WSN) is often disrupted by a number of problems, such as path disconnections, network segmentation, node faults, and security attacks. A method that gains momentum in resolving some of those issues is the use of mobile nodes or nodes deployed by mobile robots. The use of mobile elements essentially increases the resources and the capacity of the network. In this work, we present a Node Placement Algorithm with two variations, which utilizes mobile nodes for the creation of alternative paths from source to sink. The first variation employs mobile nodes that create locally-significant alternative paths leading to the sink. The second variation employs mobile nodes that create completely individual (disjoint) paths to the sink. We then extend the local variation of the algorithm by also accounting for the energy levels of the nodes as a contributing factor regarding the creation of alternative paths. We offer both a high-level description of the concept and also detailed algorithmic solutions. The evaluation of the solutions was performed in a case study of resolving congestion in the network. Results have shown that the proposed algorithms can significantly contribute to the alleviation of the problem of congestion in IoT and WSNs and can easily be used for other types of network problems.

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Section: Introductionmentioning

confidence: 63%