Distributed partition detection and recovery using UAV in wireless sensor and actor networks

Wireless Sensor and Actor Networks (WSANs) have been extensively employed in various domains ranging from elementary data collection to real-time control and monitoring for critical applications. Network connectivity is a vital robustness measure for overall network performance. Different network f...

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Main Authors: Aditi Zear, VIRENDER RANGA
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Kuwait Journal of Science
Online Access:https://journalskuwait.org/kjs/index.php/KJS/article/view/10819
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author Aditi Zear
VIRENDER RANGA
author_facet Aditi Zear
VIRENDER RANGA
author_sort Aditi Zear
collection DOAJ
description Wireless Sensor and Actor Networks (WSANs) have been extensively employed in various domains ranging from elementary data collection to real-time control and monitoring for critical applications. Network connectivity is a vital robustness measure for overall network performance. Different network functions such as routing, scheduling, and QoS provisioning depends on network connectivity. The failure of articulation points in the network disassociates the network into disjoint segments. In this paper, we target the network partition problem and propose a Partition Detection and Recovery using Unmanned Aerial Vehicle algorithm (DPDRU) to recover the partitioned network. It consists of three steps: Initialization, Operational and Detection, and Recovery. In the Initialization phase, sink node collects all the information about the network. In the second phase, i.e. Operational and Detection phase, network nodes communicate regularly by exchanging HEARTBEATS, detects failure, if some nodes do not get a message from the neighbor node and send failure reports, and sink node identifies the network partition problem. In the recovery phase, the sink node sends Unmanned Aerial Vehicle (UAV) at the positional coordinates of the failed node for placing the node for recovery. Our approach primarily focusses on reducing message overhead by sending few update messages to sink node and energy consumption by engaging network nodes only for communication purposes. The requirements for the recovery process i.e., physical movement and communication are fulfilled by UAV. The algorithm is tested according to parameters: Detection Time, Recovery Time, message overhead, and distance traveled by UAV. Simulation results validate the efficacy of the proposed algorithm based on these parameters to provide reliable results.
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spelling doaj-art-ef4e8c4541304e81a61a6bab0a91181c2025-08-20T03:24:56ZengElsevierKuwait Journal of Science2307-41082307-41162021-08-0148410.48129/kjs.v48i4.10819Distributed partition detection and recovery using UAV in wireless sensor and actor networksAditi Zear0VIRENDER RANGA1Dept. of Computer Engineering NIT Kurukshetra, IndiaDepartment of Computer Engineering, National Institute of Technology, Kurukshetra, Haryana, India-136119 Wireless Sensor and Actor Networks (WSANs) have been extensively employed in various domains ranging from elementary data collection to real-time control and monitoring for critical applications. Network connectivity is a vital robustness measure for overall network performance. Different network functions such as routing, scheduling, and QoS provisioning depends on network connectivity. The failure of articulation points in the network disassociates the network into disjoint segments. In this paper, we target the network partition problem and propose a Partition Detection and Recovery using Unmanned Aerial Vehicle algorithm (DPDRU) to recover the partitioned network. It consists of three steps: Initialization, Operational and Detection, and Recovery. In the Initialization phase, sink node collects all the information about the network. In the second phase, i.e. Operational and Detection phase, network nodes communicate regularly by exchanging HEARTBEATS, detects failure, if some nodes do not get a message from the neighbor node and send failure reports, and sink node identifies the network partition problem. In the recovery phase, the sink node sends Unmanned Aerial Vehicle (UAV) at the positional coordinates of the failed node for placing the node for recovery. Our approach primarily focusses on reducing message overhead by sending few update messages to sink node and energy consumption by engaging network nodes only for communication purposes. The requirements for the recovery process i.e., physical movement and communication are fulfilled by UAV. The algorithm is tested according to parameters: Detection Time, Recovery Time, message overhead, and distance traveled by UAV. Simulation results validate the efficacy of the proposed algorithm based on these parameters to provide reliable results. https://journalskuwait.org/kjs/index.php/KJS/article/view/10819
spellingShingle Aditi Zear
VIRENDER RANGA
Distributed partition detection and recovery using UAV in wireless sensor and actor networks
Kuwait Journal of Science
title Distributed partition detection and recovery using UAV in wireless sensor and actor networks
title_full Distributed partition detection and recovery using UAV in wireless sensor and actor networks
title_fullStr Distributed partition detection and recovery using UAV in wireless sensor and actor networks
title_full_unstemmed Distributed partition detection and recovery using UAV in wireless sensor and actor networks
title_short Distributed partition detection and recovery using UAV in wireless sensor and actor networks
title_sort distributed partition detection and recovery using uav in wireless sensor and actor networks
url https://journalskuwait.org/kjs/index.php/KJS/article/view/10819
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