DocumentCode :
3578951
Title :
Bio-inspired self-healing routing to improve lifetime of wireless sensor networks
Author :
Lakshmi, Chaganti B. N. ; Mohan Rao, S.K.
Author_Institution :
Jawarharlal Nehru Technol. Univ., Hyderabad, India
fYear :
2014
Firstpage :
134
Lastpage :
138
Abstract :
Recent advances in Compact and wireless embedded Systems coupled with the technological innovations in Micro Electro Mechanical Systems(MEMS), Wireless Communications and networks paved the way for the development of small, resource constrained devices called Sensor Nodes (SNs). Performance of Sensor Node is highly dependent on the effective and efficient usage of the available limited resources with it, leading to maximum lifetime of Wireless Sensor Network (WSN) which is a primary concern of WSNs. The depletion of a SN energy leads to change in topology of WSNs often over a period of time. Therefore, protocols which consider the dynamic nature of WSNs are crucial for improving the network lifetime. In this paper, we propose bio inspired Ant Colony optimization based Self healing routing scheme inspired by swarm Intelligence technique to improve lifetime of a WSN.
Keywords :
ant colony optimisation; micromechanical devices; routing protocols; telecommunication network reliability; telecommunication network topology; wireless sensor networks; MEMS; SN energy depletion; WSN lifetime improvement; WSN topology; bio-inspired ant colony optimization; bio-inspired self-healing routing scheme; compact embedded system; microelectromechanical system; resource-constrained devices; sensor node; swarm Intelligence technique; technological innovation; wireless communication; wireless embedded system; wireless sensor networks; Heuristic algorithms; Network topology; Routing; Routing protocols; Wireless communication; Wireless sensor networks; GPS; MEMS; Wireless Sensor Networks (WSNs); self-healing routing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication and Network Technologies (ICCNT), 2014 International Conference on
Print_ISBN :
978-1-4799-6265-5
Type :
conf
DOI :
10.1109/CNT.2014.7062740
Filename :
7062740
Link To Document :
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