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Cluster Head Selection Procedure Using Priority based Technique in VANET


Affiliations
1 Department of ECE, Lovely Professional University, Phagwara - 144411, Punjab, India
 

Objectives: To improve in the MAC protocol channel sensing mechanism for data transmission from source to destination to improve the throughput and overcome the delay of the network. Methods: High degree algorithm is proposed for selection of the Cluster Head under MAC protocol. We have compared the prediction-based algorithm and high degree algorithm with throughput, delay, packet loss, jitter and Packet Delivery Ratio (PDR). Findings: Vehicular Ad-hoc Network (VANET) is the self-organizing type of network and a subclass of Mobile Ad-hoc Network (MANET), in which vehicular nodes can move or leave the network when they want. Due to decentralized nature of VANET, security, routing and Quality of Services are major issues which arise in the network and leads to increase the delay with continuously link break in the communication of vehicular nodes. Medium Access Control (MAC), layer helps in the fast transmission of the packets from one node to another. Therefore, the technique of MAC protocol works on Time Division Multiple Access (TDMA), Request to Send (RTS) and Clear to Send (CTS) packets which will increase the routing overhead due to the extra exchange of packets in the network. So to overcome this issue, we have designed high degree algorithm and compared with prediction based algorithm using the time constraints of throughput, delay, packet loss, jitter and PDR which conclude that the high degree algorithm is better than prediction based algorithm. Improvements: Throughput, PDR, jitter, packet loss and delay are compared and the result shows improvement using high degree algorithm rather than prediction based algorithm.

Keywords

High Degree Algorithm, Medium Access Control (MAC) Protocol, Prediction based Algorithm, Vehicular Adhoc Network (VANET).
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  • Cluster Head Selection Procedure Using Priority based Technique in VANET

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Authors

Aditya Upadhyay
Department of ECE, Lovely Professional University, Phagwara - 144411, Punjab, India
Manoj Sindhwani
Department of ECE, Lovely Professional University, Phagwara - 144411, Punjab, India

Abstract


Objectives: To improve in the MAC protocol channel sensing mechanism for data transmission from source to destination to improve the throughput and overcome the delay of the network. Methods: High degree algorithm is proposed for selection of the Cluster Head under MAC protocol. We have compared the prediction-based algorithm and high degree algorithm with throughput, delay, packet loss, jitter and Packet Delivery Ratio (PDR). Findings: Vehicular Ad-hoc Network (VANET) is the self-organizing type of network and a subclass of Mobile Ad-hoc Network (MANET), in which vehicular nodes can move or leave the network when they want. Due to decentralized nature of VANET, security, routing and Quality of Services are major issues which arise in the network and leads to increase the delay with continuously link break in the communication of vehicular nodes. Medium Access Control (MAC), layer helps in the fast transmission of the packets from one node to another. Therefore, the technique of MAC protocol works on Time Division Multiple Access (TDMA), Request to Send (RTS) and Clear to Send (CTS) packets which will increase the routing overhead due to the extra exchange of packets in the network. So to overcome this issue, we have designed high degree algorithm and compared with prediction based algorithm using the time constraints of throughput, delay, packet loss, jitter and PDR which conclude that the high degree algorithm is better than prediction based algorithm. Improvements: Throughput, PDR, jitter, packet loss and delay are compared and the result shows improvement using high degree algorithm rather than prediction based algorithm.

Keywords


High Degree Algorithm, Medium Access Control (MAC) Protocol, Prediction based Algorithm, Vehicular Adhoc Network (VANET).



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i37%2F126610