GENETIC ALGORITHM-BASED CLUSTERING OF WIRELESS SENSOR NETWORK WITH NOVEL DATA ENCRYPTION
DOI:
https://doi.org/10.22159/ajpcr.2017.v10s1.19575Keywords:
Wireless sensor networks, Encryption algorithms, Clustering, Genetic algorithmAbstract
Wireless sensor networks (WSNs) have been used widely in so many applications. It is the most efficient way to monitor the information. There are
so many ways to deploy the sensors. Many problems are not identified and solved. The main challenge of WSN is energy efficiency and information security. WSN power consumption is reduced by genetic algorithm-based clustering algorithm. Information from cluster head to base station may have a lot of chances to get hacked. The most reliable way to manage energy consumption is clustering, and encryption will suit best for information security. In this paper, we explain clustering techniques and a new algorithm to encrypt the data in the network.
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Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E. Wireless sensor networks: A survey. Elsevier Comput Netw 2002;38(4):393-422.
Engelbrecht A. Computational Intelligence: An Introduction. 2nd ed. England: Wiley; 2007.
Dai F, Li T. Tailoring Software Evolution Process, 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing; 2007.
Abbasi AA, Younis M. A survey on clustering algorithms for wireless sensor networks. Comput Commun 2007;30(14-15):2826-41.
Zhou X, Tang X. Research and Implementation of RSA Algorithm for Encryption and Decryption. In: The 6th International Forum on Strategic Technology; 2011. p. 1118-21.
Werner-Allen G, Lorincz K, Ruiz M, Marcillo O, Johnson J, Lees J, et al. Deploying a wireless sensor network on an active volcano. IEEE Internet Comput 2006;10(2):18-25.
Rezaei Z, Mobininejad S. Energy saving in wireless sensor networks. Int J Comput Sci Eng Surv 2012;3(1):23-37.
Khemapech I, Duncan I, Miller A. A survey of wireless sensor networks technology. In: PGNET, Proceedings of the 6th Annual Post Graduate Symposium on the Convergence of Telecommunications; 2005.
Chong CY, Kumar SP. Sensor networks: Evolution, opportunities, and challenges. Proc IEEE 2003;91(8):1247-56.
Hosseingholizadeh A, Abhari A. A neural network approach for wireless sensor network power management. In: Proceedings of 2nd International Workshop on Dependable Network Computing and Mobile Systems; 2009.
Anastasi G, Conti M, Di Francesco M, Passarella A. Energy conservation in wireless sensor networks: A survey. Ad Hoc Netw 2009;7(3):537-68.
Younis O, Krunz M, Ramasubramanian S. Node clustering in wireless sensor networks: Recent developments and deployment challenges. IEEE Netw 2006;20(3):20-5.
Zheng H, Zhou Y. A novel cuckoo search optimization algorithm base on gauss distribution. Int J Comput Inf Syst 2012;8:4193-200.
Tawfik AS, Badr AA, Abdel-Rahman IF. One rank cuckoo search algorithm with application to algorithmic trading systems optimization. Int J Comput Appl 2013;64(6):30-7.
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