Prolonging Lifetime of Wireless Sensor Network using Evolutionary Algorithms

The popularity of wireless sensor have been increased in recent time due to growth in MEMS technology. Wireless sensor networks made up of hundreds or thousands of sensing nodes. It is necessary to make these nodes cheap and energy efficient. Most of the attention given to the routing protocol for energy efficient solutions. LEACH has been widely accepted WSN routing protocol for its energy efficiency. Evolutionary algorithm (EA) also used by researcher to resolve cluster based protocol in WSNs. The main goal of EA based clustered routing protocol is to dynamically form clusters in WSNs such that the use of energy resources of the network is minimized and prolong network lifetime. Aim of this paper is to ease the difficulty of undesirable behaviour of EA by formulating a new fitness function by introducing the concept of residual energy. Simulation shows that modified evolutionary routing protocol (ERP-M) prolong the network lifetime and saved more energy as compared to LEACH, SEP and ERP.

[1]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[2]  Ramachandran Amutha,et al.  Efficient and secure routing protocol for wireless sensor networks through SNR based dynamic clustering mechanisms , 2013, Journal of Communications and Networks.

[3]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[4]  Mehdi Hosseinzadeh,et al.  The Novel Energy Adaptive Protocol for heterogeneous wireless sensor networks , 2010, 2010 3rd International Conference on Computer Science and Information Technology.

[5]  Bara'a Ali Attea,et al.  A new evolutionary based routing protocol for clustered heterogeneous wireless sensor networks , 2012, Appl. Soft Comput..

[6]  D. Karaboga,et al.  A comparative study on Differential Evolution based routing implementations for wireless sensor networks , 2012, 2012 International Symposium on Innovations in Intelligent Systems and Applications.

[7]  Suzi Seroja Sarnin,et al.  Maximizing Network Lifetime with Energy Efficient Routing Protocol for Wireless Sensor Networks , 2009, 2009 Fifth International Conference on MEMS NANO, and Smart Systems.

[8]  Abdul Wasey Matin,et al.  Genetic Algorithm for Hierarchical Wireless Sensor Networks , 2007, J. Networks.

[9]  Han Li,et al.  A clustering routing algorithm in wireless sensor netwroks , 2012, 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems.