Multifactor Optimized Clustering with Improved Scheduling for Receiver-Initiated MAC
P Rachelin Sujae1, S Arulselvi2

1P Rachelin Sujae, Research Scholar, Department of ECE, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
2S Arulselvi, Associate Professor, Department of ECE, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.

Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 2042-2046 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7868068519/19©BEIESP
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Abstract: The WSN is a revolutionizing technology that uses the sensor to communicate the info to the base station(BS) from the field of observation. The sensor node is very important for the effectiveness of the WSN system. There were numerous protocols that were developed for achieving effective WSN. It was observed that the utmost issue was the sensor management as any issue in it affects the performance of WSN system completely. The effective management of sensor nodes involves the consideration of different factors like formation of cluster head, data flow and so on. Hence in the present work, the novel Multifactor optimized Clustering with Improved Scheduling (MoC-IS) is proposed to enhance the performance of the sensor node with effective intra node communication. The process of cluster head formation and clustering was carried out effectively through the MoC algorithm with Dual LEACH that considers the factors of battery, threshold and network stability. After the cluster formation, IS algorithm was employed to schedule the flow of data among the nodes. The data flow between the cluster heads was performed through the hop count. The proposed frame work was evaluated for its latency performance concerning the number of packets and nodes. The outcome exhibited the effectiveness of the proposed framework over the existing schemes.
Keywords: WSN, MoC-IS, Intra Node, Dual LEACH, Hop Count, Latency.

Scope of the Article: WSN