Local Distance's Neighbouring Quantification

Mobility is one of the basic features that define an ad hoc network, an asset that leaves the field free for the\udnodes to move. The most important aspect of this kind of network turns into a great disadvantage when it\udcomes to commercial applications, take as an example: the automotive networks that allow communication\udbetween a groups of vehicles. The ad hoc on-demand distance vector (AODV) routing protocol, designed\udfor mobile ad hoc networks, has two main functions. First, it enables route establishment between a source\udand a destination node by initiating a route discovery process. Second, it maintains the active routes, which\udmeans finding alternative routes in a case of a link failure and deleting routes when they are no longer\uddesired. In a highly mobile network those are demanding tasks to be performed efficiently and accurately.\udIn this paper, we focused in the first point to enhance the local decision of each node in the network by the\udquantification of the mobility of their neighbours. Quantification is made around RSSI algorithm a well\udknown distance estimation method. \u