A Node Placement Algorithm Utilizing Mobile Nodes in WSN and IoT Networks
TL;DR: This work presents a Node Placement Algorithm with two variations, which utilizes mobile nodes for the creation of alternative paths from source to sink and can significantly contribute to the alleviation of the problem of congestion in IoT and WSNs.
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Abstract: 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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Citations
Multi-strategy enhanced grey wolf algorithm for obstacle-aware WSNs coverage optimization
Zhendong Wang,Lili Huang,Shuxin Yang,Xiao Luo,Daojing He,Sammy Y. N. Chan +5 more
TL;DR: This paper proposes MSGWO, a multi-strategy grey wolf optimization algorithm, to optimize WSN coverage in obstacle-aware deployments, achieving 97.86% coverage, 50% lifecycle extension, and reduced node deployment cost.
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A Decentralized Node Placement Algorithm for WSNs and IoT Networks
Natalie Temene,Andreas Naoum,Charalambos Sergiou,Chryssis Georgiou,Vasos Vassiliou +4 more
- 26 Oct 2022
TL;DR: In this paper , the authors present a decentralized fault tolerant algorithm that utilizes mobile nodes to handle failures in the network, such as node faults, path disconnections and security attacks, which are the main reasons that often disrupts the operation of Internet of Things (IoT) networks and Wireless Sensor Networks (WSNs).
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A Centralized Node Placement Algorithm in WSNs and IoT Networks
Natalie Temene,Andreas Naoum,Charalambos Sergiou,Chryssis Georgiou,Vasos Vassiliou +4 more
- 26 Sep 2022
TL;DR: In this paper , the authors present a Centralized Fault Tolerant Algorithm that utilizes mobile nodes to handle failures in the network, which consists of a detection and a recovery process.
1
A Decentralized Node Placement Algorithm for WSNs and IoT Networks
26 Oct 2022
TL;DR: In this paper , the authors present a decentralized fault tolerant algorithm that utilizes mobile nodes to handle failures in the network, such as node faults, path disconnections and security attacks, which are the main reasons that often disrupts the operation of Internet of Things (IoT) networks and Wireless Sensor Networks (WSNs).
1
A Centralized Node Placement Algorithm in WSNs and IoT Networks
26 Sep 2022
TL;DR: In this paper , the authors present a Centralized Fault Tolerant Algorithm that utilizes mobile nodes to handle failures in the network, which consists of a detection and a recovery process.
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