Title: Real-time event area localisation and estimation in smart environments based on a realistic sensing model

Authors: Srabani Kundu; Nabanita Das; Dibakar Saha

Addresses: Department of Computer Science and Engineering, Guru Nanak Institute of Technology, Kolkata, India ' Advanced Computing and Microelectronics Unit, Indian Statistical Institute, Kolkata, India ' Department of Mathematics, Indian Institute of Technology Guwahati, Assam, India

Abstract: The need for early warning systems to design a smart environment is growing rapidly. A lot of works has been reported so far for generating an early warning in case of any disaster like gas leakage, forest fire, etc. using WSNs. In most of the works, it has been assumed that a node is affected whenever it lies within the event region. But in reality, each node does not sense just its point of location but covers a region defined by its sensing range and extracts an aggregated view of the region. So far, no sensing model considers this fact. In this paper, a new realistic sensing model is proposed for continuous event regions. Based on that, a lightweight localised algorithm is developed to identify a minimal set of boundary nodes to locate and estimate the event area in real-time achieving 99% accuracy and 75-80% reduction in message overhead.

Keywords: wireless sensor networks; WSNs; affected area; boundary node; uniform area sensing model; digital-geometry; binary decision predicate.

DOI: 10.1504/IJCNDS.2021.119214

International Journal of Communication Networks and Distributed Systems, 2021 Vol.27 No.4, pp.452 - 478

Received: 03 Oct 2020
Accepted: 02 May 2021

Published online: 23 Nov 2021 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article