Title
Coverage and Energy Analysis of Mobile Sensor Nodes in Obstructed Noisy Indoor Environment: A Voronoi-Approach
Author
Eledlebi, K.
Ruta, D.
Hildmann, H.
Saffre, F.
al Hammadi, Y.
Isakovic, A.F.
Publication year
2022
Abstract
When deploying a wireless sensor network (WSN) identifying optimal locations for the nodes is challenging, especially so if the environment is either (i) unknown or (ii) obstacle-rich. We proposes BISON (Bio-Inspired Self-Organizing Network), a variant of the Voronoi algorithm to address this challenge. Among the features of the approach are the restrictions placed upon the abilities of the nodes: (i) all information is sensed locally as well as (ii) subject to communication noise. Performance is measured as (i) the percentage of area covered, (ii) the total distance traveled by the nodes, (iii) the cumulative energy consumption and (iv) the uniformity of nodes’ distribution. Obstacle constellations and noise levels are studied systematically and a collision-free recovery strategy for failing nodes is proposed. Results obtained from extensive simulations show the algorithm outperforming previously reported approaches in both, convergence speed, as well as deployment cost.
Subject
bio-inspired
drone swarms
energy and environment optimization
mobile sensors
Noise coherence
self-organization
Voronoi centroids
wireless networks
Biomimetics
Energy utilization
Communication noise
Cumulative energy consumption
Extensive simulations
Indoor environment
Mobile sensor node
Recovery strategies
Self-organizing network
Voronoi algorithm
Sensor nodes
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http://resolver.tudelft.nl/uuid:82e1d792-e5b7-4b9b-b5fb-6cf052fc635d
TNO identifier
980707
Publisher
Institute of Electrical and Electronics Engineers Inc.
ISSN
1536-1233
Source
IEEE Transactions on Mobile Computing, 21 (21), 2745-2760
Document type
article