Abstract
In this paper, we propose a routing protocol, named Position-based Selective Neighbors (PSN), for controlling the Route Request (RREQ) propagation in Mobile Ad-hoc Networks (MANETs). PSN relies on the Residual Energy (RE) and the Link Lifetimes (LLT) factors to select the better end-to-end paths between mobile nodes. The key concept is to consider the RE and the LLT to find the best neighboring nodes to forward the received RREQs. A Simulation has been performed to compare PSN with other pioneering routing protocols. Experimental results show that PSN performs better than its competitors. Indeed, our protocol increases the network life time and reduces the network overhead. Furthermore, it reduces the overhead generated by the redundant RREQ, while maintaining good reachability among the mobile nodes.
Highlights
Academics and industry have become increasingly interested in wireless research over the last decade
3) Average throughput: We demonstrate in Fig. 9 the average Position-based Selective Neighbors (PSN) routing protocol throughput while comparing it with other routing protocols (A-LSEA, C-candidate Neighbors rebroadcasting a RREQ (CNRR) and AODV)
4) Data received: We show in Fig. 10 the data received for PSN as well as the other routing protocols (A-LSEA, CCNRR and AODV)., for which it is demonstrated that the amount of received data will decrease in case mobility increases
Summary
Academics and industry have become increasingly interested in wireless research over the last decade. This protocol imposes many time constraints in the process to properly regulate the shared resource and to avoid collisions The rebroadcasting of a copy of the received RREQ by each mobile node results, within the global network, in a maximal N – 2 number of rebroadcasts. The (x, y) coordinates of all nodes and their neighbors in the suggested algorithm are known According to those positions, the best neighbors are selected by one node to further rebroadcast RREQs. We divide the source node‟s transmission range to 4 equal zones. Our workout lines one effective routing protocol, which can tackle such a flooding problem and minimize RREQs propagation when at the same time maintaining among nodes within a global network comparable reachability
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