Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/218610
Title: Cross Layer Optimization for Packet Scheduling in Wireless Sensor Actor Network
Researcher: Samirkumar Dhirajlal Trapasiya
Guide(s): Himanshu B. Soni
Keywords: Cross Layer Optimization, Markov Decision Process, Policy Iteration, Genetic Algorithm,Traveling Salesman Problem, Acoustic Communication, Wireless Sensor Actor Network, Adaptive Modulation, Packet Error Rate, Channel State Information, Energy Harvesting, Expected Maximization
University: Gujarat Technological University
Completed Date: 01-10-2018
Abstract: quotAt present, Wireless Sensor Network has been emerging as a most promising area of research newlinedue to its vast amount of applications, different function capabilities, and noticeable future newlinescope. In the last decade, WSN has captured the attention of research communities across newlinethe globe for the research and development of a sustainable and auto-conand#64257;gure network newlineto meet the various challenges. The primary concern in WSN is to develop an optimize newlinesolutions for the reduction of energy consumption, packet losses and computational cost newlineof the sensors nodes encompass with limited power and a small processing unit. It is a newlinechallenging task to develop strategies for making WSN more robust and applicable to the newlineenvironmental and#64258;uctuation and variation of the system parameters. newlineThe performance of the WSN can be signiand#64257;cantly improved by controlling transmission parameters newlineas per the nature of the channel and available resources in hand. The common newlinetransmission policy for all the state of the system may not enhance the performance of WSN newlinein an optimum way. The reasonable solution is to identify the best set of transmission policies newlinefor an individual state of the system. The packet scheduling based on cross-layer design newlinepresent a way to deal with the environmental uncertainty and adaptively manage the parameters newlineaccordingly. The present set of solutions lack in consideration of higher level system newlineparameters in a policy-making and less efand#64257;cient to improve the energy efand#64257;ciency of the network. newlineIn the proposed work, we have addressed two major issues, energy saving and packet loss reduction newlineby developing path scheduling and packet scheduling approach for Wireless SensorActor newlineNetwork. We have proposed Optimum Trans-Receiver Scheme (OTRS) to adaptively newlinemanage the transmission policy as per the variation of the system. In OTRS, the problem newlineis formulated as per Markov Decision Process (MDP) model with the integration of relevant newlinetransmission parameters from individual layers as per the cross-layer design. In the newlineMDP model, the system is
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URI: http://hdl.handle.net/10603/218610
Appears in Departments:Electronics & Telecommunication Enigerring

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01_title.pdfAttached File1.59 MBAdobe PDFView/Open
02_certificate.pdf40.52 kBAdobe PDFView/Open
03_abstract.pdf147.2 kBAdobe PDFView/Open
04_declaration.pdf40.6 kBAdobe PDFView/Open
05_acknowledgement.pdf42.77 kBAdobe PDFView/Open
06_contents.pdf62.99 kBAdobe PDFView/Open
07_list_of_tables.pdf42.2 kBAdobe PDFView/Open
08_list_of_figures.pdf53.65 kBAdobe PDFView/Open
09_abbreviations.pdf42.36 kBAdobe PDFView/Open
10_list_of_symbols.pdf134.57 kBAdobe PDFView/Open
11_chapter1.pdf1.53 MBAdobe PDFView/Open
12_chapter2.pdf984.5 kBAdobe PDFView/Open
13_chapter3.pdf2.15 MBAdobe PDFView/Open
14_chapter4.pdf5.5 MBAdobe PDFView/Open
15_chapter5.pdf3.83 MBAdobe PDFView/Open
16_chapter6.pdf7.27 MBAdobe PDFView/Open
17_chapter7.pdf45.38 kBAdobe PDFView/Open
18_conclusion.pdf24.88 kBAdobe PDFView/Open
19_ summary.pdf98.33 kBAdobe PDFView/Open
20_appendix.pdf40.03 kBAdobe PDFView/Open
21_bibliography.pdf71.39 kBAdobe PDFView/Open
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