DocumentCode
564842
Title
PEEBR: Predictive Energy Efficient Bee Routing algorithm for Ad-hoc wireless mobile networks
Author
Fahmy, I.M.A. ; Hefny, Hesham Ahmed ; Nassef, L.
Author_Institution
Comput. & Inf. Sci. Dept., Cairo Univ., Cairo, Egypt
fYear
2012
fDate
14-16 May 2012
Abstract
Over the last decade, numerous research efforts have been made to develop energy-efficient routing protocols for the Mobile Ad-hoc wireless Networks MANET. However, these energy-efficient protocols have added an overhead on the network and its nodes which could result in overall network performance degradation. In this research paper, a new swarm intelligent routing algorithm inspired from Bees; the Bees Colony Optimization (BCO) model is introduced. The proposed Predictive Energy Efficient Bee Routing PEEBR algorithm aims to predict the amount of energy that will be consumed by all the nodes along each of the potential routing paths between a certain source node and a destination node using two types of bee agent. PEEBR is a bio-inspired routing algorithm that considers energy conservation during route discovery, evaluation and selection.
Keywords
mobile ad hoc networks; optimisation; routing protocols; MANET; PEEBR algorithm; ad hoc wireless mobile network; bee agent; bee colony optimization model; bio-inspired routing algorithm; destination node; energy conservation; energy efficient protocols; energy efficient routing protocols; mobile ad hoc wireless networks; network performance degradation; numerous research effort; predictive energy efficient bee routing algorithm; route discovery; source node; swarm intelligent routing algorithm; Algorithm design and analysis; Batteries; Energy efficiency; Measurement; Mobile ad hoc networks; Optimization; Routing; BCO; Energy efficient routing; MANET; PEEBR; bio-inspired routing;
fLanguage
English
Publisher
ieee
Conference_Titel
Informatics and Systems (INFOS), 2012 8th International Conference on
Conference_Location
Cairo
Print_ISBN
978-1-4673-0828-1
Type
conf
Filename
6236559
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