Analysis and improvement in routing of Hybrid routing Protocol in Mobile Adhoc Network
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Abstract
MANETs represent self-sustained wireless networks that operate independently, devoid of any permanent infrastructure or reliance on base stations. In the realm of MANETs, each node assumes the roles of both a transmitter and router while also serving as a data sink. Nodes autonomously discover their local neighbors and leverage these connections to communicate with nodes beyond their own transmission range, effectively establishing a dynamic wireless network.
newlineOne of the most pressing challenges encountered in MANETs is the unpredictable loss of network connectivity. This issue leads to packet drops, necessitating the restoration of connections through the exchange of RREQ and RREP packets, which, unfortunately, results in a performance decline for the network. To address these challenges, I adopted a scenario routing approach, which is hybrid approach of combining the OLSR, DMR, AOMDV, and AODV routing protocols while considering the network situation for improved performance. In this research a new Improved Hybrid Routing- IHRP protocol is designed which broadcasts a RREQ (Route Request) packet to discover a route. The selection of routing options is based on the current network situation. To determine the distance between the source and destination nodes, the proposed IHRP initiates a RREQ packet. In situations where network mobility exceeds the capabilities of the AODV protocol, the IHRP protocol can utilize the OLSR routing protocol for route selection and data transmission, provided that at least 70% of the network nodes remain stable.
newlineAdditionally, the proposed IHRP protocol effectively manages network load and congestion control through the utilization of the AOMDV routing protocol. In DMR, each node maintains a roster of nearby nodes along with their current locations, facilitating efficient routing decisions. By integrating DMR, AODV, AOMDV, and OLSR protocols into the IHRP, I gain enhanced control over network behavior and performance regulation.
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