Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/287732
Title: Energy Efficiency Scheduling Methods for congestion free Wireless Networks
Researcher: Jebaraj Solomon
Guide(s): Keshavan H R
Keywords: Engineering and Technology,Computer Science,Computer Science Information Systems
University: Jain University
Completed Date: 17/06/2019
Abstract: IEEE 802.15.4 Zigbee protocol is a worldwide standard intended for upcoming applications in newlinelow-rate wireless personal area networks. It specifies physical and media access control layers newlineto ensure guarantee delivery and to achieve low power. The internal topology of this protocol newlineconsists of sensors devices, cluster coordinator and Personal Area Network (PAN) coordinator. newlineWhile processing the data, the PAN coordinator transmits the beacon frame to its cluster newlinecoordinators and the sensor node receives the beacon frames from cluster coordinates newlineperiodically. During this process collision occurs, it results in poor performance. The problems newlineof packet collision are packet loss, packet retransmission, decreasing throughput, increased newlinedelay/latency and increased wasted energy consumption. To enhance the efficiency of network, newlinethis research applied on various metaheuristics algorithms named genetic algorithm (GA), Grey newlinewolf optimizer and African Buffalo Optimization (ABO) is selected for scheduling problem to newlinecoordinate the transmission. The aim of this research work is to analysis the performance of newlinemobility models in IEEE 802.15.4 ZigBee MAC using NS2.34. HGAABO is a hybrid new newlinealgorithm that combines the genetic algorithm (GA) and African Buffalo Optimization (ABO) newlineto optimize the path selection in the network includes two main parameters were energy and newlinedelay. Hence, the new scheduling algorithm is analyzed and compared with above algorithms newlineto evaluate the performance of IEEE 802.15.4. newline
Pagination: 117 p.
URI: http://hdl.handle.net/10603/287732
Appears in Departments:Dept. of CS & IT

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chapter 1.pdf378.33 kBAdobe PDFView/Open
chapter 2.pdf188.26 kBAdobe PDFView/Open
chapter 3.pdf84.67 kBAdobe PDFView/Open
chapter 4.pdf364.98 kBAdobe PDFView/Open
chapter 5.pdf300.72 kBAdobe PDFView/Open
chapter 6.pdf403.61 kBAdobe PDFView/Open
chapter 7.pdf103.7 kBAdobe PDFView/Open
chapter 8.pdf36.27 kBAdobe PDFView/Open
cover page.pdf78.32 kBAdobe PDFView/Open
table of contents.pdf43.42 kBAdobe PDFView/Open
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