Abstract
Sensor is a key to make our existing systems smart and easy to handle. Association of hundreds to thousands of sensors forms a huge sensor network which may have capabilities of sensing, computing, and communicating via radio frequencies. Communication technology is nowadays prominently working in the field of wireless sensor networks (WSNs). As due to the flexible nature of sensor network, it can easily connect to one another and form large network. It has a wide range of application field from indoor to outdoor environments. Besides this, it has many challenges out of which battery power is the most highlighted one. In this paper, LEACH protocol has improvised with various data clustering algorithms and developed hybrid protocols such as LEACH-FUZZY, LEACH-LVQ, and LEACH-SOFM. Simulation result shows that LEACH-FUZZY protocol performs outstandingly in comparison with LEACH, LEACH-LVQ, and LEACH-SOFM.
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References
I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, Wireless sensor networks: a survey. Comput. Netw. 382, 393–422 (2002)
M. Mittal, R.S. Bhadoria, Aspect of ESB with Wireless Sensor Network, in Exploring Enterprise Service Bus in the Service-Oriented Architecture Paradigm (igi-global publications, 2017), pp. 319
W.R. Heinzelman, A. Chandrakasan, H. Balakrishnan, Energy-Efficient Communication Protocol for Wireless Microsensor Networks, in Proceeding of IEEE International Conference System Science, Hawaii (2000), pp. 1–10
W.R. Heinzelman, A. Chandrakasan, H. Balakrishnan, An application-specific protocol architecture for wireless microsensor networks. IEEE Trans. Wirel. Commun. 1, 660–670 (2002)
H. Oh, K. Chae, An Energy-Efficient Sensor Routing with Low Latency, Scalability in Wireless Sensor Networks, in International Conference on Multimedia and Ubiquitous Engineering (2007), pp. 147–152
M. Mittal, K. Kumar, Network Lifetime Enhancement of Homogeneous Sensor Network Using ART1 Neural Network, in Sixth International Conference on Computational Intelligence and Communication Networks (2014), pp. 472–475
L. Fausett, Fundamentals of Neural networks: Architecture (Algorithm and Applications, Pearson Education, 1994)
N. Enami, R.A. Moghadam, Energy based clustering self organizing map protocol for extending wireless sensor networks lifetime and coverage. Can. J. Multimedia Wirel. Netw. 1, 42–54 (2010)
M. Mittal, K. Kumar, Data Clustering in Wireless Sensor Network Implemented on Self Organization Feature Map (SOFM) Neural Network, in Published in IEEE International Conference on Computing Communication and Automation (ICCCA) (2016)
M. Mittal, K. Kumar, Quality of services provisioning in wireless sensor networks using artificial neural network: a survey. Int. J. Comput. Appl. (IJCA), 28–40 (2015)
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Mittal, M., Kumar, S. (2019). Performance Evaluation of LEACH Protocol Based on Data Clustering Algorithms. In: Krishna, C., Dutta, M., Kumar, R. (eds) Proceedings of 2nd International Conference on Communication, Computing and Networking. Lecture Notes in Networks and Systems, vol 46. Springer, Singapore. https://doi.org/10.1007/978-981-13-1217-5_14
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DOI: https://doi.org/10.1007/978-981-13-1217-5_14
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