DocumentCode
2045569
Title
A survey of nature inspired routing algorithms for MANETs
Author
Jha, Vivekanand ; Khetarpal, Kritika ; Sharma, Meghna
Author_Institution
Dept. of Comput. Sci. Eng., Indira Gandhi Inst. of Technol. (IGIT), Delhi, India
Volume
6
fYear
2011
fDate
8-10 April 2011
Firstpage
16
Lastpage
24
Abstract
A mobile ad hoc network MANET is an autonomous collection of mobile users nodes that communicate over wireless links. Research interest in MANETs has been growing, and particularly the design of MANET routing protocols has gained a lot of significance. But constantly changing network topology, limited bandwidth and energy issues make the task of routing in MANETs a challenging one. Recently a new class of routing algorithms based on swarm intelligence has emerged. These algorithms are inspired from nature´s self-organizing systems such as ant colonies, bird flocks and fish schools. The general characteristics of these biological systems which include their capability of self-organization, robustness, adaptation, self healing, and local decision making, make them a suitable source of inspiration for routing in MANETs. In this paper we provide a comprehensive overview of the nature inspired routing algorithms for mobile adhoc networks and compare them and also bring out their main merits and demerits.
Keywords
mobile ad hoc networks; routing protocols; MANET routing protocols; ant colonies; biological systems; bird flocks; fish schools; local decision making; mobile ad hoc network; mobile user nodes; nature inspired routing algorithms; self healing; self-organizing systems; swarm intelligence; Ad hoc networks; Algorithm design and analysis; Batteries; Floors; Mobile computing; Routing; Security; ACO; Bee Colony; Bird Flocking; MANETs; Swarm intelligence; Termites;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics Computer Technology (ICECT), 2011 3rd International Conference on
Conference_Location
Kanyakumari
Print_ISBN
978-1-4244-8678-6
Electronic_ISBN
978-1-4244-8679-3
Type
conf
DOI
10.1109/ICECTECH.2011.5942042
Filename
5942042
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