Title: Clustering-based RSSI and AOA combination for localisation in wireless sensor networks

Authors: Dipak W. Wajgi

Addresses: Department of Computer Science and Engineering, Indian Institute of Information Technology, Nagpur, Maharashtra, 441108, India; Department of Computer Engineering, St. Vincent Pallotti College of Engineering and Technology, Nagpur, Maharashtra, 441108, India

Abstract: In this paper, we propose the clustering-based localisation algorithm which is energy efficient and has less computational complexity. The sensor nodes are grouped in a cluster which is based on the received signal strength at the respective anchor nodes which are acting as cluster heads. The distance of the sensor node from their cluster head is calculated. The distance information along with the angle of arrival (AoA) information is combined to estimate the location of the cluster members creating the local map. This combination of RSSI and AoA makes the clustering algorithm more efficient to achieve better accuracy in location estimation with less computational complexity. The distance information is used to calculate the energy dissipation of the sensor nodes. The energy dissipation is reduced by adopting the density control strategy during cluster formation and reducing the communication among the sensor and hence increasing the lifetime of the network. The proposed algorithm performs well as compared to the adaptive clustering and improved K-means algorithm on parameters like average energy consumption and network lifetime.

Keywords: energy efficiency; localisation; clustering; received signal strength indicator; RSSI; angle of arrival; AoA; wireless sensor network.

DOI: 10.1504/IJCNDS.2024.141671

International Journal of Communication Networks and Distributed Systems, 2024 Vol.30 No.6, pp.733 - 770

Received: 14 Oct 2022
Accepted: 28 Nov 2022
Published online: 30 Sep 2024 *

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