An Obstacle Based Realistic Ad-Hoc Mobility Model for Social Networks

Venkateswaran, P.; Ghosh, Rahul; Das, Aritra; Sanyal, Sugata; Nandi, R.

doi:10.4304/jnw.1.2.37-44

Cited by 23 publications

(10 citation statements)

References 18 publications

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“…In the Environment-Aware Mobility (EAM) model [2] the area is divided into accessible and non-accessible areas with different mobility factors. In [28] some principles of the social network theory are applied to produce mobility patterns in the presence of obstacles.…”

Section: Related Workmentioning

confidence: 99%

An obstacle-aware human mobility model for ad hoc networks

Papageorgiou

Birkos

Dagiuklas³

et al. 2009

2009 IEEE International Symposium on Modeling, Analysis &Amp; Simulation of Computer and Telecommunication Systems

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In this work we present an obstacle-aware human mobility model for ad hoc networks. Typical examples where the nodes of mobile ad hoc networks are human-operated are natural or man-made disasters, military activities or healthcare services. In these scenarios, obstacles are an integral part of the areas where such networks are deployed in order to facilitate communication among the firemen, policemen, medics, soldiers, etc. In the proposed mobility model, the nodes of the network move around the obstacles in a natural and realistic way. A recursive procedure is followed by each node according to which every time an obstacle is encountered between the node's current position and the final destination point, the node moves to the obstacle's vertex that is closest to the destination. This process is repeated until the destination is reached. The obstacles are also taken into account in modeling the signal propagation. When a packet is transmitted through an obstacle, the power at which it is received is attenuated by a certain value representing the physical layer phenomena suffered by the signal. The model is implemented as an add-on module in Network Simulator ns-2. A thorough simulation study conducted highlights the differences of the proposed model with other mobility models, by investigating the properties of the resulting network topologies and their impact on network performance.

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Section: Related Workmentioning

confidence: 99%

An obstacle-aware human mobility model for ad hoc networks

Papageorgiou

Birkos

Dagiuklas³

et al. 2009

2009 IEEE International Symposium on Modeling, Analysis &Amp; Simulation of Computer and Telecommunication Systems

View full text Add to dashboard Cite

show abstract

“…In the Environment-Aware Mobility (EAM) model [2] the area is divided into accessible and non-accessible areas with different mobility factors. In [30] some principles of the social network theory are applied to produce mobility patterns in the presence of obstacles. The proposed MCM model extends the OM model by enabling the nodes to select among all the points of the network area and move their way around the obstacles in a natural way, rather than following predefined pathways connecting a limited set of points in this area.…”

Section: Related Workmentioning

confidence: 99%

Simulating mission critical mobile ad hoc networks

Papageorgiou

Birkos

Dagiuklas

et al. 2009

Proceedings of the 4th ACM Workshop on Performance Monitoring and Measurement of Heterogeneous Wireless and Wired Networks

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In this paper we present a mobility model for ad hoc networks operating in mission critical situations, like for example natural or man-made disasters, military activities or emergency healthcare services. The proposed model captures the properties of mobility in situations like the above by incorporating hierarchical node organisation, typical for such scenarios modes of node activity, event-based destination selection and presence of physical obstacles that affect both the node movement and the signal propagation. The nodes are divided into groups with each group leader responsible for choosing the destination points. These choices resemble the events that occur in the network deployment area and the corresponding missions that are assigned to the node groups. The proposed model includes two modes of node activity that represent the two types of nodes primarily comprising such networks: the emergency workers and the medical staff. Each event belongs to a certain class, according to which reinforcements are called to provide further assistance. The conducted simulation study highlights the differences between the proposed model and other mobility models, by investigating their properties in terms of the resulting network topology and their impact on the performance of an ad hoc network operating under a well known routing protocol.

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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%

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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An Obstacle Based Realistic Ad-Hoc Mobility Model for Social Networks

Abstract:
An efficient deployment of a mobile ad-hoc network (MANET) requires a realistic approach towards the mobility of the hosts who want to communicate with each other over a wireless channel. Since ad-hoc networks are driven by human requiremen… Show more

Cited by 23 publications

References 18 publications

An obstacle-aware human mobility model for ad hoc networks

An obstacle-aware human mobility model for ad hoc networks

Simulating mission critical mobile ad hoc networks

Performance Evaluation of MANET in Realistic Environment

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An Obstacle Based Realistic Ad-Hoc Mobility Model for Social Networks

Abstract: An efficient deployment of a mobile ad-hoc network (MANET) requires a realistic approach towards the mobility of the hosts who want to communicate with each other over a wireless channel. Since ad-hoc networks are driven by human requiremen… Show more

Cited by 23 publications

References 18 publications

An obstacle-aware human mobility model for ad hoc networks

An obstacle-aware human mobility model for ad hoc networks

Simulating mission critical mobile ad hoc networks

Performance Evaluation of MANET in Realistic Environment

Contact Info

Product

Resources

About

Abstract:
An efficient deployment of a mobile ad-hoc network (MANET) requires a realistic approach towards the mobility of the hosts who want to communicate with each other over a wireless channel. Since ad-hoc networks are driven by human requiremen… Show more