Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/92174
Title: Design of Communication Strategy for Wireless Sensors in Non Deterministic Environment using Mobile Agent
Researcher: Preeti Sethi
Guide(s): Dr. Naresh Chauhan and Dr. Dimple Juneja
Keywords: WSN, Mobile Agents, Extended Kalman Filter, Non Deterministic Environment
University: YMCA University of Science and Technology
Completed Date: 2015
Abstract: The thrust of this thesis is to design an efficient communication strategy for non-deterministic WSN using mobile agents. newlineThe multifold contributions of this thesis include: 1) Mobility Controlled Communication of randomly deployed sensors 2) Energy aware Clustering and itinerary determination 3) Efficient information processing at the nodes level using Filtering 4) Fusion of the filtered data. The work is being carried out in 4 phases and is collectively termed as MC3F2. newlineThe work has initially put forward a solution to the major challenge of providing an energy efficient means for communication among the randomly deployed sensors in the non-deterministic area.It has limited the mobility of sensor nodes and made them function both static as well as mobile sensor nodes by making the pause time between the sensors random instead of constant. newlineThe thesis next provides an intelligent approach for clustering the sensors into unique clusters with the help of mobile agents. It has proposed an event driven approach for clustering which elects cluster heads amongst the sensors on the basis of residual energy of sensors and the reliability values of the agents. Thereafter it employs a novel approach to determine the itinerary of the mobile agent which is traversing within the cluster. newlineThe third phase of filtering is motivated by the fact that lot of raw data is being sensed with proportionate amount of noise resulting into very less useful information. Out of the various filtering algorithms available, Extended Kalman Filter(EKF) is being chosen , primarily because it is able to minimize the variance of estimation error i.e. filters noise from the actual signal more accurately. Simulation results show that considerable noise is being filtered and ample energy is saved by using the proposed approach. newlineThe thesis also presents a novel approach for fusion which forms the last and the fourth phase of the work. In this phase the plain data is first encrypted and then fused at each ISU being visited by the mobile agent. newline
URI: http://hdl.handle.net/10603/92174
Appears in Departments:Department of Computer Engineering

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front_pages(title+abstract+toc).pdfAttached File314.97 kBAdobe PDFView/Open
chapter_i.pdf80.72 kBAdobe PDFView/Open
chapter_ii.pdf524.2 kBAdobe PDFView/Open
chapter_iii.pdf359.7 kBAdobe PDFView/Open
chapter_iv.pdf1.84 MBAdobe PDFView/Open
chapter_v.pdf1.5 MBAdobe PDFView/Open
conclusion.pdf69.43 kBAdobe PDFView/Open
back_pages(references+publications).pdf335.07 kBAdobe PDFView/Open
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