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Faculty of Computing and Information Technology in Rabigh
Document Details
Document Type
:
Article In Journal
Document Title
:
Probabilistic Routing Protocol for a Hybrid Wireless Underground Sensor Networks, Wireless Communications and Mobile Computing
Probabilistic Routing Protocol for a Hybrid Wireless Underground Sensor Networks, Wireless Communications and Mobile Computing
Subject
:
Computer Science
Document Language
:
English
Abstract
:
A wireless underground sensor network (WUSN) is defined as a network of wireless sensor devices in which all sensor devices are deployed completely underground (network sinks or any devices specifically for relay between sensors and a sink may be aboveground). In hybrid wireless underground sensor network (HWUSN), communication between nodes is implemented from underground-to-air or air-to-underground, not underground-to-underground. This paper proposes a novel hybrid underground probabilistic routing protocol that provides an efficient means of communication for sensor nodes in HWUSN. In addition, signal propagation based on the shadowing model for underground medium is developed. The proposed routing protocol ensures high packet throughput, prolongs the lifetime of HWUSN and the random selection of the next hop with multi-path forwarding contributes to built-in security. Moreover, the proposed mechanism utilizes an optimal forwarding (OF) decision that takes into account of the link quality, and the remaining power of next hop sensor nodes. The performance of proposed routing protocol has been successfully studied and verified through the simulation and real test bed.
ISSN
:
1530-8677
Journal Name
:
Wireless Communications and Mobile Computing
Volume
:
13
Issue Number
:
2
Publishing Year
:
1434 AH
2013 AD
Article Type
:
Article
Added Date
:
Tuesday, November 19, 2013
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
عادل علي عبدالله
Abdullah, Adel Ali
Researcher
Doctorate
engadel2003@hotmail.com
نورشيلا فيصل
Fisal, Norsheila
Researcher
Doctorate
Sheila@fke.utm.my
Files
File Name
Type
Description
36333.pdf
pdf
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