An Improved Vanet Clustering and Channel Quality using Movc and Weighted Probability
Sohel Rana1, Md Alamin Hossan2, Abidullha Adel3, Jayastree4

1MD. Sohel Rana*, Department of Computer Science and Technology, Nanjing Univesity of Information & Science, Nanjing, China.
2Md. Alamin Hossan, Asst. Biomedical Engineer, Genetic Trading, Dhaka, Bangladesh.
3Abidullha Adel, Assistant Professor and Lecturer, Kunduz University, Afghanistan.
4Jayastree. J, Research Associate, Department of Electronics and Communication Engineering, B. S. Abdur Rahman Crescent Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on October 13, 2021. Revised Manuscript received on October 24, 2021. Manuscript published on October 30, 2021. | PP: 211-223 | Volume-11 Issue-1, October 2021. | Retrieval Number: 100.1/ijeat.A32081011121 | DOI: 10.35940/ijeat.A3208.1011121
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Abstract: VANET offers a vast range of application which will make travel experience safe. The concept behind VANET is quite simple which incorporates wireless communication and capable of sharing data; the vehicles are turned for offering network to provide services which can be used in the home or office networks. VANET network nodes are move in-network with higher velocity in the network. This higher mobility of vehicles causes increased resource and energy utilization which causes failure of nodes. Resource and energy consumption is higher for inefficient constructed clustering for VANET. Also, vehicle mobility causes several obstacles in data transmission this causes degraded channel quality. data transmission this causes degraded channel quality. In this paper concentrated on improving channel quality and energy efficiency in the network. Initially, performed efficient clustering through middle-order based cluster head (CH) election (MOVC) mechanism. Through effective CH election resource and energy utilization is limited. In the next stage, channel quality is improved by the proposed weighted probability approach for effective data transmission between vehicles in the VANET network. The weighted probability approach estimates the path for data transmission to destination vehicle. Through the selection of CHs using the middle-order approach, the network exhibits an effective maintenance phase here, the weighted probability is applied for the estimation of the path for effective data transmission in the VANET. The comparative analysis of the proposed approach exhibits significant performance rather than conventional technique. The estimated residual energy of the proposed approach is almost 20% higher than ACO, PSO, and KH. The packet delivery rate is observed around 80% and delay is minimal as of 2.5sec.
Keywords: MOVC Algorithm, VANET, Enhance channel Quality of VANET, Development weighted probability for Data loss.
Scope of the Article: Clustering