Weighted signal-to-noise ratio average routing metric for dynamic sequence distance vector routing protocol in mobile ad-hoc networks

Abstract

It is clearly that mobile ad-hoc networks (MANET) gained the interest of research and market place lastly, and that is due to its wide variety of applications. However, nodes mobility implies rapid topology changes, where a channel aware routing protocol is becoming a necessity to cope with this problem. Many channel aware routing metrics are proposed in the literature, however these routing metrics are either utilizing the shared bandwidth to measure the link quality, or they implies less awareness to the link quality. This paper proposed a cross layer collaboration routing metric "Weighted Signal to noise ratio average (WSA)" and its implementation on the Dynamic Sequence Distance Vector (DSDV) routing protocol. The WSA metrics utilizes the SNR information provided by the physical layer to weight the quality of the link, and requires no additional traffic on the shared bandwidth. The new metrics is implemented in one of the MANET common routing protocols DSDV. Simulation Scenarios are implemented to study and to compare the performance of WSA. The results show that WSA improves the performance of the MANET in terms of throughput and delay.