Dynamic route maintenance for geographic forwarding in mobile ad hoc networks

Chou, Chih-Hsun; Ssu, Kuo‐Feng; Jiau, Hewijin Christine

doi:10.1016/j.comnet.2007.10.001

Cited by 19 publications

(12 citation statements)

References 21 publications

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“…location data is flooded more frequently). Thus, the authors in [5] proposed the Dynamic Route Maintenance algorithm for self-configuring the node's beacon interval according to the mobility pattern of the neighbouring nodes (i.e., shorter intervals for higher mobility nodes).…”

Section: Introductionmentioning

confidence: 99%

A Modification of DYMO Routing Protocol with Knowledge of Nodes’ Position: Proposal and Evaluation

Zola

Barcelo-Arroyo

Martín-Escalona

2015

Lecture Notes in Computer Science

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Abstract. Knowledge of the physical location of the nodes is known to improve performance in wireless networks. This is especially true in MANETs, where routing protocols face a continuously changing topology. In the past, routing protocols such as Beacon-Less Routing (BLR) used the location information of the nodes to build the forwarding path in a distributed manner. In this work, we borrow the forwarding approach in BLR and apply it in the route discovery process of DYMO. Under the assumption of nodes knowing their own location, the receiving nodes will compute a delay. The node with lower delay will resend the RREQ first. The rest of forwarding nodes will drop the RREQ once they receive this first RREQ. Thus the best forwarding node is selected in a distributed manner. This modification is expected to reduce the amount of RREQs circulating in the network, lessening the routing overhead.

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Section: Introductionmentioning

confidence: 99%

A Modification of DYMO Routing Protocol with Knowledge of Nodes’ Position: Proposal and Evaluation

Zola

Barcelo-Arroyo

Martín-Escalona

2015

Lecture Notes in Computer Science

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“…Furthermore, the results gathered in [3] has been analytically confirmed by Chu and Nikolaidis in [13], where it was shown that using random waypoint model incurs hot spot problem at the center of the simulated network. Divecha et al in [14], have shown that in the case that density is directly proportional to the throughput of the MANET network, this result is acceptable if the density does not acceded a certain level where the performance of the routing protocol will be decreased and degraded.…”

Section: Related Workmentioning

confidence: 73%

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

Almomani¹,

Al-Shugran²,

Alzubi³

et al. 2015

IJCA

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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.

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“…For instance the Adaptive Position Update (APU) scheme [13] includes the components of mobility prediction and on demand learning. The requirement of beacon packets is significantly increased with the rate of node mobility and it induces the high routing overhead [20] as well as the communication cost [7] in the network. Based on the node mobility patterns, various experiments are conducted to simulate the effects of location errors on the GPSR performance under MANET environment [21].…”

Section: Mobility Based Beaconingmentioning

confidence: 99%

Enhancing the Performance of Geographical Routing Protocol in Highly Dynamic Mobility and Mobility Patterns

Palanisamy¹,

Muralibhaskaran²

2014

IJCA

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In geographical routing, each node takes the data forwarding decision based on the location information of its one-hop neighbors. Dissemination of location information is the key function of the geographic routing. The location error due to the node mobility models has direct impact on the geographical routing. Node mobility is a great challenge to the beacon based location broadcasting schemes. The general mechanism to optimize the local topology information according to the node mobility is Proactive beaconing schemes support specific mobility model, but it does not perform well under various mobility models. However, it is difficult to capture the changes in the network topology and fit the beaconing approach correctly to the various mobility models. This paper proposes the Context Aware Mobility Adaptive Location Update (CAALU) scheme which contains Distance and Traffic based Location update (DTL), Band Prediction (BP), and Conditional Location Update on Overhearing (CLUO). These schemes make CAALU more flexible to various mobility models. For supporting the mobility models, the DTL dynamically adjusts the beaconing interval based on the node distance and traffic. For simplification, it divides the node transmission area into inband and out-band region, and each node continuously exchange its location information with the out-band nodes. The BP mechanism predicts the mobile node region and broadcast the beacon only if the predicted distance error is greater than the threshold range. The CLUO mechanism employs the MAC layer overhearing concept whereby a node sends the beacon packet, when it overhears the data/beacon packet transmission from a new neighbor. Simulated results reveal the adaptability of CAALU on various mobility models.

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Dynamic route maintenance for geographic forwarding in mobile ad hoc networks

Cited by 19 publications

References 21 publications

A Modification of DYMO Routing Protocol with Knowledge of Nodes’ Position: Proposal and Evaluation

A Modification of DYMO Routing Protocol with Knowledge of Nodes’ Position: Proposal and Evaluation

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

Enhancing the Performance of Geographical Routing Protocol in Highly Dynamic Mobility and Mobility Patterns

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