{"title":"Optimised disjoint virtual backbone algorithms for wireless sensor networks","authors":"Simon T. Obenofunde, Olivier Togni, Wahabou Abdou","doi":"10.1049/wss2.12028","DOIUrl":null,"url":null,"abstract":"<p>The way nodes are arranged in a wireless network can significantly influence performance, especially information flow. The construction of disjoint virtual backbone networks (DVBNs) is one of the ways this can be accomplished. In this study, the authors first present a proposal that constructs multiple DVBNs using nodes' locations, in two phases. In the second phase of the proposal, dominator selection is initiated by the sink and then continued by each selected dominator. This occurs in rounds, with each round producing a distinct virtual backbone. The simulations show that multiple DVBNs can be produced with a good approximation ratio. Further, two optimisations are presented, one for a scanty network and the other for data dissemination. These are accomplished by changing the way in which the dominators are selected in the second phase of the algorithm. These optimisations are evaluated and a marked improvement is observed in node connectedness to the backbone and in hop count while keeping approximation ratios almost constant.</p>","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"11 5","pages":"219-232"},"PeriodicalIF":1.5000,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.12028","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Wireless Sensor Systems","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/wss2.12028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The way nodes are arranged in a wireless network can significantly influence performance, especially information flow. The construction of disjoint virtual backbone networks (DVBNs) is one of the ways this can be accomplished. In this study, the authors first present a proposal that constructs multiple DVBNs using nodes' locations, in two phases. In the second phase of the proposal, dominator selection is initiated by the sink and then continued by each selected dominator. This occurs in rounds, with each round producing a distinct virtual backbone. The simulations show that multiple DVBNs can be produced with a good approximation ratio. Further, two optimisations are presented, one for a scanty network and the other for data dissemination. These are accomplished by changing the way in which the dominators are selected in the second phase of the algorithm. These optimisations are evaluated and a marked improvement is observed in node connectedness to the backbone and in hop count while keeping approximation ratios almost constant.
期刊介绍:
IET Wireless Sensor Systems is aimed at the growing field of wireless sensor networks and distributed systems, which has been expanding rapidly in recent years and is evolving into a multi-billion dollar industry. The Journal has been launched to give a platform to researchers and academics in the field and is intended to cover the research, engineering, technological developments, innovative deployment of distributed sensor and actuator systems. Topics covered include, but are not limited to theoretical developments of: Innovative Architectures for Smart Sensors;Nano Sensors and Actuators Unstructured Networking; Cooperative and Clustering Distributed Sensors; Data Fusion for Distributed Sensors; Distributed Intelligence in Distributed Sensors; Energy Harvesting for and Lifetime of Smart Sensors and Actuators; Cross-Layer Design and Layer Optimisation in Distributed Sensors; Security, Trust and Dependability of Distributed Sensors. The Journal also covers; Innovative Services and Applications for: Monitoring: Health, Traffic, Weather and Toxins; Surveillance: Target Tracking and Localization; Observation: Global Resources and Geological Activities (Earth, Forest, Mines, Underwater); Industrial Applications of Distributed Sensors in Green and Agile Manufacturing; Sensor and RFID Applications of the Internet-of-Things ("IoT"); Smart Metering; Machine-to-Machine Communications.