Coverage and Energy Analysis of Mobile Sensor Nodes in Obstructed Noisy Indoor Environment: A Voronoi-Approach
article
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.
Topics
bio-inspireddrone swarmsenergy and environment optimizationmobile sensorsNoise coherenceself-organizationVoronoi centroidswireless networksBiomimeticsEnergy utilizationCommunication noiseCumulative energy consumptionExtensive simulationsIndoor environmentMobile sensor nodeRecovery strategiesSelf-organizing networkVoronoi algorithmSensor nodes
TNO Identifier
980707
ISSN
15361233
Source
IEEE Transactions on Mobile Computing, 21(8), pp. 2745-2760.
Publisher
Institute of Electrical and Electronics Engineers Inc.
Pages
2745-2760
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