Abstract
Battery power and queue conservation are critical issues in mobile ad hoc network (MANET). These two factors not only affect the delivery ratio but also the lifetime of the network. In this work, we will propose a simple and effective routing protocol to extend the lifetime and to evenly distribute the traffic loads of the networks as possible. Furthermore, a concept of serving capacity is introduced to reflect the level of congestion around a node. In this way, the proposed routing protocols can avoid network congestion and achieve higher packet delivery ratios. The extensive computer simulation is conducted to compare the proposed protocol against many existing routing protocols. The results show that the proposed routing protocol can have better performance in terms of queueing length, lifetime, and packet delivery ratio and have comparable end-to-end delays.
Highlights
With the emergence of mobile applications [1,2,3], mobile ad hoc networks (MANETs) have attracted significant research activities due to their flexibility
The initial battery power and queueing length of a node are randomly generated and the simulation results are the average over all realizations
When the moving speed is low, the proposed protocol is worse than Ad hoc On Demand Distance Vector (AODV), WLBR, and QoS-AODV
Summary
With the emergence of mobile applications [1,2,3], mobile ad hoc networks (MANETs) have attracted significant research activities due to their flexibility. In light of these, balancing the loading and avoiding the lowbattery-power nodes to prolong the lifetime of the network are two important issues when designing a routing protocol for MANET. The queueing-aware routing protocols use metrics as functions of the queueing length for helping search the route The protocols in this category mainly aim at distributing the traffic evenly over the network and avoiding the selection of those nodes with longer queueing length as much as possible. Both categories have their advantages and disadvantages. We will propose a new metric to help us find a route with preferable remaining battery power level and queueing length.
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