Performance Evaluation of Position-Based Routing Protocols using Different Mobility Models in MANET

Abstract

A Mobile Ad hoc network (MANET) is a dynamic selforganizing multi-hop wireless network. Owing the random and unpredictable movement of the mobile nodes, the topology is changing rapidly and frequently. In MANET, where is no routing infrastructure like fixed routers and routing backbones, all MNs participate in the routing process. Recently, position-aware routing protocols, and because of their simplicity, position awareness, and scalability, are the most routing protocols used with MANET. In recent years, a variety of position-aware routing protocols have been developed. The efficiency of such protocol affects by the used underlying mobility model. Thus, wrong selection of the Mobility model may has devastating consequences on the performance MANET. Research efforts haven't focused much in evaluating their performance when applied to different mobility models. In this paper, we have studied the effect of two different mobility models; Random Waypoint mobility model (RWP) and Boundless Mobility Model (BDM) on the performance of selected group of position-based routing protocols. The performance analysis was carried out by using the network simulator, Ns2. The simulation results clarify the performance of the selected routing protocols with three performance metrics.

Deep Validation of Spatial Temporal Features of Synthetic Mobility Models

“…That is the percentage of total MNs' neighbors during the whole validation time. Low values of this metric reflect the degree of model instability in attaining neighbors, which further leads to worse network performances [12]. To strongly verify the results shown in Figure 3, we validate the average neighbor percentage during the simulation.…”

“…• the speed decay problem, described by Yoon et al [4] and then in [5], • spatial node distribution, introduced by Bettstetter et al [6], later discussed in [7] for random networks and in [8] for the outage probability in wireless networks, • the density wave phenomenon, reported by Royer et al [9] and later in [10,11], for wireless networks. • the average neighbor percentage, investigated by Camp et al [12] and then in [13].…”

Evaluation of Mobility Models Using Routing Protocols

“…The different nodes use their own mobility model and are then added to the reference point which drives them in the route of the group. At each moment, every node has a speed and direction that is derived by randomly different from that of the group leader [7,8,14]. This general description of group mobility can be used to create a variety of models for different kinds of mobility applications.…”

“…A.K.Shukla et al [14] taken into consideration various portability fashions with Wireless advert hoc Networks directing conventions to offer research a extra experienced decision of versatility display for the specified` steering conventions. A relative research of a part of the modernday portability models is delivered in an collection of exercise settings.The parameters like throughput, quit to end defer and package deal conveyance share are taken into consideration.…”

Mobility Models in Wireless Ad-Hoc Network:A Simulative Study

“…After that, consider nodes that are inside buildings, and guest nodes. Individual node mobility is modeled based on a specific grid, featuring a mobility model based on trace [10][11][12][13][14][15][16][17][18][19][20]. It is an extremely easy model and similar to models such as the City Section or the Manhattan model, the main dissimilarity is that the earlier models are extra sufficient to other model.…”