Date of Award
Summer 2008
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Electrical & Computer Engineering
Program/Concentration
Electrical Engineering
Committee Director
Linda L. Vahala
Committee Director
R. W. Lawrence
Committee Member
Sachin Shetty
Call Number for Print
Special Collections LD4331.E55 G673 2008
Abstract
Wireless Sensor networks have many potential applications. These wireless sensor networks necessitate specific design requirements of which energy efficiency is vital. The sensor networks consist of sensor nodes that operate on battery power, and replacement of these batteries is very often a strenuous task, since networks are deployed in areas where the act of replacing the batteries proves impractical.
With the limited available energy of sensor nodes, most of the energy is drained during communication. An energy efficient routing algorithm can prolong the lifetime of the network by gradually depleting the nodes in the network. Many of the routing protocols that have been proposed are computationally complex and possess certain hardware capabilities in order to function. The objective of this thesis is to develop a network lifetime protocol that is energy efficient, computationally simple and does not have any hardware requirements.
In this network lifetime protocol, for the message to reach the base station it follows multi-hop routing in which the neighbor is being selected based on the minimum distance and the energy level above a certain threshold. If the energy level is below the threshold, then the next closest neighbor is selected, and if its energy level is above the threshold, then the message is forwarded to that corresponding node. This novel approach increases the lifetime of the network as the critical nodes are not completely drained. All the nodes in the network are being utilized, i.e. all the nodes in the network deplete more or less at the same rate.
Rights
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DOI
10.25777/7kt6-3r64
Recommended Citation
Goparaju, Venkata S..
"Extending the Network Life Time in WSN Using Energy Efficient Algorithm"
(2008). Master of Science (MS), Thesis, Electrical & Computer Engineering, Old Dominion University, DOI: 10.25777/7kt6-3r64
https://digitalcommons.odu.edu/ece_etds/341
Included in
Digital Communications and Networking Commons, OS and Networks Commons, Theory and Algorithms Commons