Dynamic Behavioural Routing Protocol for Longest Route Lifetime Prediction in Manet

In MANETs, the network’s wireless topology may be unpredictable and may change rapidly. The widely varying mobility characteristics are expected to have significant impact on the performance of the routing protocol. A host may lose its energy or roam independently without informing to its cooperative nodes, causing changes in network topology, and thus, these changes cause overwhelming affect in the routing protocol’s performance. Plenty of researches have been done to analyze node lifetime and link lifetime to address this problem. Here, the dynamic behavior of mobile nodes such as the energy depletion rate and the relative mobility computation are used to develop a new algorithm to compute the node lifetime and the link lifetime of mobile nodes. Combining these two intuitive performance metrics and by using the proposed route lifetime-prediction algorithm, resulting in the selection of the least dynamic route with the longest lifetime for persistent data forwarding. Finally, the proposed route lifetime-prediction algorithm is implemented in a dynamic behavioral routing protocol environment based on Dynamic Source Routing (DSR) protocol. The main advantage of EDNR protocol is improving the throughput, reducing the time delay and route failures by finding Route Life Time (RLT) to achieve the persistent data forwarding. This protocol is compared with the traditional protocols like Lifetime-Prediction Routing (LPR) and Signal-Stability-based Adaptive (SSA) routing mechanisms to imply its advantages over the others.