Mobility Aware Clustering Routing Algorithm (MACRON) to improve lifetime of Wireless Sensor Network
Rajiv R. Bhandari1, K. Raja Sekhar2
1Rajiv Bhandari, Research Scholar, Department of CSE KLEF, Guntur, Vijayawada, AP, India.
2Dr. K. Raja Sekhar, Professor, Department of CSE KLEF, Guntur, Vijayawada, AP, India.
Manuscript received on 11 March 2019 | Revised Manuscript received on 18 March 2019 | Manuscript published on 30 July 2019 | PP: 76-85 | Volume-8 Issue-2, July 2019 | Retrieval Number: A1368058119/19©BEIESP | DOI: 10.35940/ijrte.A1368.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In wireless sensor network energy consumption is the recent research trend. Sleep scheduling and clustering of nodes in mobile environment are two different approaches adopted to elongate the life of network. In this paper Mobility Aware Clustering routing algorithm (MACRON) is proposed by integrating two challenging approaches. In the sleep scheduling approach, the node takes the decision for their states independently in decentralized manner. Using this reward based approach; the node decides its own current state (sleep, wake, idle) and it also predict the state of neighbors without communicating with neighbors. The performance improvement of sleep scheduling algorithm is significant but, to enhance performance it should be integrated with clustering approaches. To support the mobility in wireless sensor network various MAC protocol has been proposed, but they consume huge energy for data transmission. The proposed MACRON algorithm works efficiently in both mobile and stationary network. The performance of proposed algorithm gives decent outcome in varying size of nodes ranging from 10 to 40 in ns-2.
Index Terms: MAC, AODV, TDMA, sleep/wake-up, MEMAC, RIMAC, Wireless Sensor Network, Energy-Efficient Algorithm, Cross-Layer Protocols
Scope of the Article: Energy Harvesting and Transfer for Wireless Sensor Networks