Reachability Analysis of Mobility Models under Idealistic and Realistic Environments

Kumar, Chirag; Nagpal, C. K.; Bhushan, Bharat; Gupta, Shailender

doi:10.1007/978-3-642-30111-7_49

Cited by 7 publications

(7 citation statements)

References 11 publications

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“…Another factor which affects the MANET performance is the environment in which the nodes are deployed. The environment [19][20][21][22][23][24][25] in which MANET may contain unpredictable obstacles, such as mountains, lakes, buildings, or regions without any hosts, impeding or blocking message relay. The obstacle restricts not only the nodes movement but may obstruct the effective transmission paths between nodes.…”

Section: Mobilitymentioning

confidence: 99%

“…Recent research by Chirag Kumar et al [25] in which they calculated the affect in the value of the Probability of Reachability (POR) as the simulation region is changed from obstacle free region to the region having obstacles. There was significant decrease in the value of POR which approximately 50 percent to the value of POR for obstacle free region.…”

Section: Literature Survey and Problem Definationmentioning

confidence: 99%

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Performance Evaluation of MANET in Realistic Environment

Gupta¹,

Kumar²,

Nagpal³

et al. 2012

IJMECS

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In order to facilitate communication in Mobile Ad hoc Network (MANET), routing protocols are developed. The performance of these protocols depends upon various factors such as: transmission range, number of nodes deployed and mobility of the nodes. Another factor which affects the performance of MANET routing protocols is the environment in which ad hoc network is deployed. The MANET environment may contain obstacles such as mountains lakes, buildings and river. These obstacles restrict nodes movement but may or may not obstruct the effective transmission range of nodes deployed. This paper is an effort to evaluate the performance of MANET routing protocols in presence of obstacles by designing a simulator in MATLAB-10. To make the situation more realistic obstacle of different shapes, size, number and type were introduced in the simulation region. We found significant impact of the same on the performance of routing protocols.

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Section: Mobilitymentioning

confidence: 99%

Section: Literature Survey and Problem Definationmentioning

confidence: 99%

Performance Evaluation of MANET in Realistic Environment

Gupta¹,

Kumar²,

Nagpal³

et al. 2012

IJMECS

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“…Literature study [4,11,12,13,20] has shown that the mobility model in use can significantly impact the performance of ad hoc routing protocols, based on packet delivery ratio, the control overhead, and the data packet delay. Hence, it is important to use mobility models that accurately represent the intended scenarios in which the protocol is likely to be used.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we propose to create more realistic movement models by incorporating obstacles in the simulation area. The obstacles [14,20] are placed within a network area to model the location of buildings within an environment, i.e. a college campus.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of MANET Performance in Presence of Obstacles

Kumar¹

2012

IJASUC

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The mobility models are used to represent the unpredictable movement pattern of the nodes in Mobile Adhoc Network (MANET) and give us an idea regarding their location, velocity and acceleration change over time. These models are used for simulation purpose in standard software tools such as QualNet, ns-2 etc. This paper evaluates the performance of routing protocols for mobility models such as Random Way Point (RWP), Random Walk (RW) and Random Direction (RD) in presence of obstacles like mountain which restricts node movement as well obstruct transmission path between nodes based on a parameter termed as Probability of Reachability (POR). The POR is defined as the fraction of reachable routes to all possible routes between all pairs of sources and destinations. For this purpose a simulator is designed in MATLAB. We observe a marked difference in value of POR in presence of obstacles as well as variation in number of obstacles.

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“…The path having optimum connectivity is used for communication.  Path Speed: In case of the nodes having very high mobility [10]- [14], path speed is taken as one of the important route metric. As the speed of nodes increases, the probability of link failure increases which leads to drop of data/control packets.…”

Section: Introductionmentioning

confidence: 99%