Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/310179
Title: Mitigation of energy holes through lifetime enhancement and mobility models in distributed wireless sensor network
Researcher: Lakshmi joshitha K
Guide(s): Jayashri S
Keywords: Engineering and Technology
Computer Science
Computer Science Information Systems
mobility
distributed
University: Anna University
Completed Date: 2019
Abstract: Staying connected globally has become mandatory in this busy world. The demand for automatic monitoring of almost every phenomenon like weather, plantations, surveillance and natural calamities namely Tsunamis, earth quakes, landslides etc., all needs a promising set up like the Wireless Sensor Network. One of the important issues in such network is the lack of proper coverage. This may happen due to improper deployment, failure of nodes and draining of energy of the node. Lack of coverage may lead to total communication failure in the network. Hence the work aims at finding the anomaly in the node deployment of such network thereby keeping track of the coverage issues in the post deployment scenario. The work focuses on three folds of objective: First, the identification of the Coverage hole is done using Geometric and the Topological approaches. Based on the metrics such as time complexity, cost and effectiveness of the two approaches, it is concluded that the best technique to identify the void in the network is the Topological Approach. Further the severity of the hole is to be analyzed by sizing up of the hole. This is done by polygonal approach which yields the upper bound of the Hole identified. The coverage of the network considered is analyzed using the Monte Carlo Integration technique. The identified coverage holes must be healed at the earliest to ensure good communication. Thus the second objective is the healing process initiated in a network where the holes are identified using the Advanced Delaunay technique. The Redundant Hole Based Healing Algorithm (RHBHA) is proposed for the same. Simple fuzzifier is used to show how the redundant node can be selected based on a nodes residual energy, angle swept and the distance with the neighbor node. The identification of the best redundant healer node based on its occurrence in the Delaunay Table is done and redundancy in the hole points to be healed is also located newline
Pagination: xviii, 126p.
URI: http://hdl.handle.net/10603/310179
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File23.67 kBAdobe PDFView/Open
02_certificates.pdf588.85 kBAdobe PDFView/Open
03_abstracts.pdf5.21 kBAdobe PDFView/Open
04_acknowledgements.pdf147.93 kBAdobe PDFView/Open
05_contents.pdf5.06 kBAdobe PDFView/Open
06_listofabbreviations.pdf6.26 kBAdobe PDFView/Open
07_chapter1.pdf224.84 kBAdobe PDFView/Open
08_chapter2.pdf179.44 kBAdobe PDFView/Open
09_chapter3.pdf111.3 kBAdobe PDFView/Open
10_chapter4.pdf1.01 MBAdobe PDFView/Open
11_chapter5.pdf562.25 kBAdobe PDFView/Open
12_chapter6.pdf749.12 kBAdobe PDFView/Open
13_chapter7.pdf549.06 kBAdobe PDFView/Open
14_conclusion.pdf17.38 kBAdobe PDFView/Open
15_references.pdf177.81 kBAdobe PDFView/Open
16_listofpublications.pdf133.57 kBAdobe PDFView/Open
80_recommendation.pdf104.99 kBAdobe PDFView/Open


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