Abstract
Ad-hoc networks play an important role in situations where fixed wired pre-defined backbone cannot be created. In mobile adhoc network (MANET), discovery of routing path with minimum routing and control overhead are important challenges. In this paper, Distributed multi criteria based clustering approach (DMBCA) is introduced for overcoming routing overhead of network in mobile ad-hoc network. The proposed DBMCA use multiple metric clustering techniques for defining “optimal node factor” that can use in selection of cluster head. DMBCA is then compared with conventional AODV routing protocol in NS-2.35. Experimental results show that the proposed DMBCA achieves much better results in terms of performance parameters such as packet delivery ratio, average throughput and routing overhead than conventional AODV technique.
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Yadav, P., Prasad, R., Saurabh, P., Verma, B. (2019). Distributed Multi-criteria Based Clusterhead Selection Approach for MANET. In: Prateek, M., Sharma, D., Tiwari, R., Sharma, R., Kumar, K., Kumar, N. (eds) Next Generation Computing Technologies on Computational Intelligence. NGCT 2018. Communications in Computer and Information Science, vol 922. Springer, Singapore. https://doi.org/10.1007/978-981-15-1718-1_17
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