Fault-localization protocol for wireless sensor networks

Research output: Book chapter/Published conference paperConference paperpeer-review


Maintaining network connectivity for reliable acquisition of data is crucial when disseminating the sensed phenomena in wireless sensor networks. The use of Global Positioning System (GPS) is considered as the most reliable method when detecting the location of a particular node in the network. However, localisation techniques using GPS are extremely expensive when the sensor field is massively dense. Many researchers have designed alternative methods such as triangulation where beacon nodes are used for creating a reference point from the nearest neighbor for locating the nodes of interest. Such technique mostly relies on various estimates where chances of error are extremely high if there are problems with the beacon node that is used for creating a reference point. In this paper, we present a novel Green's Theorem (GT) based Fault-Localisation Protocol (GT-FLP) to identify the faulty nodes and their location in the network. The proposed technique, GT-FLP, uses partitioning and clustering methods for the dense sensor networks. Each cluster has a cluster-head for disseminating data-sets to the sink node. It is also assumed that the network is partitioned such that the neighboring edges of the next cluster are closer than their sensing radius. The sensor nodes also store their Received Signal Strength Indicator (RSSI) values and disseminate information about their battery levels and energy consumption rates. We performed the experiment to investigate, (i) how to efficiently identify faulty nodes and pinpoint their exact location, (ii) dynamically partitioning the network for reliability and adaptability, and (iii) provide mathematical formulation of the localisation problem in the context of wireless sensor networks.
Original languageEnglish
Title of host publication2019 IEEE 44th Local Computer Networks Symposium on Emerging Topics in Networking
Subtitle of host publicationLCN Symposium 2019
EditorsKarl Andersson, Hwee-Pink Tan, Sharief Oteafy
Place of PublicationGermany
Number of pages8
ISBN (Electronic)9781728125619
ISBN (Print)9781728125626 (Print on demand)
Publication statusPublished - 17 Feb 2020
EventThe 44th IEEE Conference on Local Computer Networks (LCN) - Steigenberger Hotel Remarque, Osnabrück, Germany
Duration: 14 Oct 201917 Oct 2019
https://www.ieeelcn.org/prior/LCN44/index.html (Conference website)
https://www.ieeelcn.org/prior/LCN44/lcn2019cfp.pdf (Call for papers)


ConferenceThe 44th IEEE Conference on Local Computer Networks (LCN)
OtherThe IEEE LCN conference is the premier conference on the leading edge of theoretical and practical aspects of computer networking. LCN is a highly interactive conference that enables an effective interchange of results and ideas among researchers, users, and product developers. For the past 43 years, major developments from high-speed networks to the global Internet to specialized sensor networks have been reported at this conference.
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