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PEEBR: Predictive Energy Efficient Bee Routing algorithm for Ad-hoc wireless mobile networks

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3 Author(s)
Fahmy, I.M.A. ; Comput. & Inf. Sci. Dept., Cairo Univ., Cairo, Egypt ; Hefny, H.A. ; Nassef, L.

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.

Published in:

Informatics and Systems (INFOS), 2012 8th International Conference on

Date of Conference:

14-16 May 2012