Abstract:
Localization is an imperative stage in building a routing matrix between nodes in Wireless Sensors Network (WSN). It is essential for exchanging the measured Data in the ...Show MoreMetadata
Abstract:
Localization is an imperative stage in building a routing matrix between nodes in Wireless Sensors Network (WSN). It is essential for exchanging the measured Data in the network and making informed conclusions. This paper reviews the localization techniques for Wireless Sensor Networks Nodes. It presents a mathematical model for finding sensors locations based on Received Signal Strength Indicators (RSSI) and takes care of the measurement noise involved. It also carries out a comparison between centralized and decentralized localization in terms of the average consumed communication power by the network to achieve the localization of the nodes. Different scenarios are simulated by varying the geographical deployment area of the network and the number of nodes used. Evaluation results show that decentralized localization consumes less communication power and is more scalable than the centralized approach.
Published in: 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)
Date of Conference: 21-23 November 2017
Date Added to IEEE Xplore: 11 January 2018
ISBN Information:
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Cites in Papers - IEEE (2)
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1.
Daniel Konings, Fakhrul Alam, Frazer Noble, Edmund M-K. Lai, "SpringLoc: A Device-Free Localization Technique for Indoor Positioning and Tracking Using Adaptive RSSI Spring Relaxation", IEEE Access, vol.7, pp.56960-56973, 2019.
2.
Kalyani V., "Enhancing Localization Accuracy in Wireless Sensor Networks using Range-free methods and RSS Measurements", 2018 International Conference on Recent Trends in Advance Computing (ICRTAC), pp.136-142, 2018.
Cites in Papers - Other Publishers (1)
1.
Wahiba Larbi-Mezeghrane, Ali Larbi, Louiza Bouallouche-Medjkoune, Djamil Aissani, "Geometric and decentralized approach for localization in wireless sensor network", Journal of Ambient Intelligence and Humanized Computing, vol.12, no.2, pp.1679, 2021.
