DocumentCode :
168214
Title :
GAACO: Metaheuristic driven approach for routing in OppNet
Author :
Johari, Rahul ; Mahmood, Dhari Ali
Author_Institution :
USICT, Indraprastha Univ., New Delhi, India
fYear :
2014
fDate :
14-16 June 2014
Firstpage :
1
Lastpage :
6
Abstract :
Routing in delay tolerant network addresses the ability to transport or route bundles from a source to a destination, which is a primary responsibility that all communication networks must have. However, Opportunistic Networks (Opp-Nets) or Delay Tolerant Networks are characterized by the sparse connectivity resulting in a lack of instantaneous end-to-end path between source and destination. In such a challenging environment, popular ad hoc routing protocols such as AODV and DSR fail to establish routes. We introduce a new metaheuristic oriented routing protocol GAACO that utilizes the optimization techniques of Genetic Algorithm and Ant Colony Optimization to find the path between source and destination. GAACO has been simulated in Network Simulator (NS 2) and its performance has been compared with Epidemic routing Protocol on issues such as delay, number of hops traversed, energy consumed and throughput achieved.
Keywords :
ant colony optimisation; delay tolerant networks; genetic algorithms; mobile ad hoc networks; routing protocols; GAACO; MANET; NS 2; OppNet; ad hoc routing protocols; ant colony techniques; communication networks; delay tolerant network; end-to-end path; genetic algorithm; heuristic oriented routing protocol; metaheuristic driven approach; network simulator; opportunistic networks; optimization techniques; sparse connectivity; Bioinformatics; Genetic algorithms; Genomics; Routing; Routing protocols; DTN; EPIDEMIC; GAACO; MANET;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer & Information Technology (GSCIT), 2014 Global Summit on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-5626-5
Type :
conf
DOI :
10.1109/GSCIT.2014.6970129
Filename :
6970129
Link To Document :
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