A Method for Fault Tolerant Localization of Heterogeneous Wireless Sensor Networks
| Autor: | K. V. Santhosh, Soumya J Bhat |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
General Computer Science
Computer science Distributed computing 02 engineering and technology 3D field anisotropy computer.software_genre Fault (power engineering) 01 natural sciences localization Hop (networking) 0202 electrical engineering electronic engineering information engineering General Materials Science heterogeneous wireless sensor network 010401 analytical chemistry General Engineering Process (computing) Location awareness 020206 networking & telecommunications Fault tolerance 0104 chemical sciences fault tolerant Jenks natural breaks algorithm lcsh:Electrical engineering. Electronics. Nuclear engineering Hop (telecommunications) computer Wireless sensor network lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 9, Pp 37054-37063 (2021) |
| ISSN: | 2169-3536 |
| Popis: | Location information of nodes in Wireless Sensor Networks (WSN) is essential to identify the origins of events and to act on them. Several localization algorithms are developed for this purpose. In this work, we have considered hop based localization algorithms, which are popularly used in WSN applications. These algorithms use a few reference nodes with location information and localize other nodes with reference to these nodes. But, in practical scenarios, some reference nodes may turn faulty and report incorrect location information to other nodes. This reduces the localization accuracy of the entire network. Therefore, it is essential to identify and filter out faulty reference nodes from the localization process. But, in Heterogeneous Wireless Sensor Networks (HWSN), since both faulty nodes and heterogeneous nodes modify hop distances, it becomes even more challenging to identify only faulty nodes among a set of heterogeneous nodes. In this work, we have reported a fault filtering method that can be used with any of the existing hop based localization algorithms for fault-tolerant localization. This method first normalizes the distance estimations using the communication radius of nodes and then uses the Jenks Natural Breaks algorithm for filtering out the nodes producing inconsistent distance estimations. The reported method is incorporated into existing localization algorithms and tested in 2D/3D, isotropic/anisotropic environments. The results show an improvement of 14%, 52%, and 51% in localization accuracy when tested with DV-Hop, Weighted DV-Hop, and HHO-AM algorithms, respectively. |
| Databáze: | OpenAIRE |
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