PREDICTIVE EFFICIENT ENERGY BEE ROUTING ALGORITHM FOR AD-HOC WIRELESS MOBILE NETWORKS

GUIDED BY:

AGENDA

ABSTRACT INTRODUCTIONOBJECTIVESPREVIOUS APPROACHMODERN APPROACHPROJECT SPECIFICATIONSCONCLUSIONREFERENCES

ABSTRACT

Numerous efforts had been made in the past to develop energy-efficient routing protocols for the MANET .

MANETs enable the communication of mobile without any traditional infrastructure networks.

MANETs are multi-hop, self-organized and decentralized networks.

A new swarm intelligent routing algorithm & Bees Colony Optimization(BCO) model is introduced.

PEEBR algorithm predicts the amount of energy consumed by all nodes along the routing paths of bee agent.

PEEBR is a bio-inspired routing algorithm that is based on energy conservation.

INTRODUCTION

Swarm intelligence is a collective behavior of

decentralized,self-organized systems,natural or artificial.

The agents can be bees,ants and other animal societies.

They live in hostile, dynamic environment.Coordinating and cooperating to survive.They perform essential tasks such as foraging,

labor division, nest building or brood sorting.

BCO is based on the concept of SI.It has two types of agents

• Scouts- discover on-demand new routes to the destination.

• Foragers- transport data packets and evaluates route quality and aims at maxmizing network lifetime.

OBJECTIVES

Design and Development ofNode Distribution Algorithm- to spread

nodes in the network.

Randomized Multipath Route Discovery algorithm- discovering multiple routes by sending a special agent known as scout.

Routing Table Formation algorithm- to maintain and form the routing tables of nodes.

Node-level Energy Consumption algorithm- to compute the node level energy consumed.

Network-level Energy Consumption algorithm- to compute the total optimal energy consumption, number of hops and goodness factor.

PEEBR Energy Optimization Algorithm- to determine a highly energy efficient path.

PREVIOUS APPROACH

One of the challenges of routing algorithm is limited battery power of the mobile nodes.

This feature of MANET nodes was the reason for creating a new group of protocols classified as energy efficient routing protocols.

The real dilemma in MANETs is: how to design a routing algorithm that is not only energy efficient but also provides the same performance as that of the existing state-of-threat algorithms.

MODERN APPROACH

BCO model will help finding the optimal path between source and a destination node through multi-bee agent search.

This optimal path should consume the least battery power while routing the data stream.

It provides a reliable, adaptive, flexible and energy-efficient routing technique for wireless MANET networks.

PROJECT SPECIFICATIONS

Parameter Name Parameter Value

Different types of

Nodes

Source Nodes, Sink Node and Intermediate Nodes

No of Normal Nodes 50

Measurement

Parameters

No Of Hops, Energy and Goodness Factor

Language Advanced JAVA

Business Tier

Framework

Spring Framework

Presentation

Framework

ExtJS(Extended Java Script) & Java Server Pages(JSP)

Architecture Industry Standard Architecture

CONCLUSION

This proposed routing discovery technique is setting the framework for a novel category of swarm-based predictive and energy aware routing protocol inspired from bees.

The future work of this research includes: simulation of PEEBR and a comparative analysis for its results.

REFERENCES L. M. Feeney. "An energy consumption model for performance analysis of

routing protocols for mobile ad hoc networks". Mobile Networks and Applications, 6(3):239-249,2001.

R. Shah and J. Rabaey, "Energy aware routing for low energy ad hoc sensor networks", Wireless Communications and Networking Conference, WCNC2002. IEEE, vol. 1, pp. 350-355 vol. 1, 2002.

M. Dorigo, M. Birattari and Thomas Stutzle. "Ant Colony Optimization: Artificial Ants as computational intelligence technique». Universite libre de Bruxelles, Belgique IEEE Computational Intelligence magazine, November 2006

K. Pappa, A. Athanasopoulos, E. Topalis, and S. Koubias, "Implementation of power aware features in aodv for ad hoc sensor networks a simulation study". IEEE Conference on Emerging Technologies and Factory Automation ETFA, pp.1372-1375, Sept. 2007.

Mayur Tokekar and Radhika D. Joshi, "Enhancement of Optimized Linked state routing protocol for energy conservation", CS & IT-CSCP, 2011

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