Evaluation of link lifetime for the Random Waypoint mobility model

Colletti, Roberto Ramos; Moraes, Renato M. de

doi:10.1109/icon.2013.6781947

Cited by 5 publications

(3 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Small maximum speed and long pausetime result in high stability, while fast user movement and small pause time produce highly dynamic behaviours of the users, and D2D communication may become unstable. Thus, RWPM may fail to achieve steady state, in terms of average user speed, and as a result, the speed may constantly decrease as the simulation progresses [60], [61]. However, this may not be a problem in the case of high variability in proximate users.…”

Section: A Mobility Modelsmentioning

confidence: 99%

“…We focus on mobility models and traces with regards to human and vehicle behavior according to their movement patterns [73], [210], [211], speed, geographic location [104], [212], social characteristics [53], [85], [213], stochastic data [214] and frequent visiting places [82]. Mobility models include random mobility model [61], [72], human mobility model [74], vehicular mobility model, dynamic graph model [97], social group based mobility model [5], [215] and geographic based mobility model. In addition the mobility traces are taken according to the opportunistic contacts, social connections, user interest, mobility and connectivity traces, vehicular network and local environment.…”

Section: A Overview Of Mobility Assisted D2d Communicationmentioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Survey on Mobility-Aware D2D Communications: Principles, Practice and Challenges

Waqas

Niu

et al. 2020

IEEE Commun. Surv. Tutorials

114

View full text Add to dashboard Cite

Device-to-device (D2D) communication proposes a new epitome in mobile networking to avail data exchange between physically proximate devices. The exploitation of D2D communication enables mobile operators to harvest short range communications for improving network performance and corroborating proximity-based services. In this article, we investigate mobility aspects of D2D communication, which are indispensable for the adoption and implementation of D2D communication technology. We present an extensive review of the state-of-theart problems and the corresponding solutions for encouraging the exploitation of mobility to assist D2D communication. Specifically, by identifying the mobility models, traces, problems, requirements, and features of different proposals, we discuss the lessons learned and summarize the advantages of mobility-aware D2D communication. We also present open problems and highlight future research directions concerning D2D communication applications in real-life scenarios. To the best of our knowledge, this is the first comprehensive survey to address mobility-aware D2D communication, which offers insight to the underlying problems and provides the potential solutions. Index Terms-Device-to-device communication, mobility, mobile communication, mobile data traffic. I. INTRODUCTION D EVICE-to-device (D2D) communication takes the advantage of opportunistic encounters by mobile users with each other [1]. These opportunistic encounters' information between users are highly related to their movement. By exploiting users' movement, D2D enabled applications and services visualize highly opportunistic and unpredictable human mobility. Therefore, the challenges of exploiting mobility resides in the inherent complexity of users' mobility. It is mainly concerns with predicting the establishment of communication links among D2D users. For instance, two mobile users can establish a link at the time when they are in close proximity to each other. However, there are two key questions have to M.

show abstract

Section: A Mobility Modelsmentioning

confidence: 99%

Section: A Overview Of Mobility Assisted D2d Communicationmentioning

confidence: 99%

A Comprehensive Survey on Mobility-Aware D2D Communications: Principles, Practice and Challenges

Waqas

Niu

et al. 2020

IEEE Commun. Surv. Tutorials

114

View full text Add to dashboard Cite

show abstract

“…In [14], the authors proposed an analytical model to evaluate the distribution of link lifetime in a mobile ad hoc network under the random waypoint mobility model. They derived an expression for the PDF of the link lifetime.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Route Stability in Mobile Multihop Networks Under Random Waypoint Mobility

Younes

Albalawi

2020

IEEE Access

View full text Add to dashboard Cite

Analytical performance evaluation is crucial in designing mobile multihop networks under different operational conditions. It provides the best insight into the effects of various network parameters and their interactions. The route and link lifetime in mobile multihop networks under a random mobility environment have significant effects on network performance. Many analytical studies have been introduced to the body of work concerned with the link and route lifetime in mobile multihop networks. However, there is no closed-form analytical study for link and route stability in MANETs under any random mobility model. In addition, to simplify the analysis, one or more network characteristics were not considered in most of related studies. This work presents a closed-form analytical model for the link and route lifetime in mobile multihop networks, where nodes move according to the random waypoint mobility model. The proposed model can capture the effects of most network characteristics including the number of mobile nodes, the number of hops, the network area size, the transmission range, and the speed of nodes. In addition, we used the proposed model to derive expressions for the bounds of the link and route lifetime under different network characteristics. The proposed model can help characterize the network performance, analyze the network as to meet a certain level of quality-of-service, and design better routing protocols to cope with link breakage caused by node mobility. To verify the proposed model, extensive simulations were performed under different network characteristics.INDEX TERMS Link lifetime, mobile ad hoc networks, multihop networks, random waypoint mobility, route lifetime, vehicle ad hoc networks.

show abstract

Simulative study of random waypoint mobility model for mobile ad hoc networks

Pramanik

Choudhury

et al. 2015

2015 Global Conference on Communication Technologies (GCCT)

View full text Add to dashboard Cite

Evaluation of link lifetime for the Random Waypoint mobility model

Cited by 5 publications

References 19 publications

A Comprehensive Survey on Mobility-Aware D2D Communications: Principles, Practice and Challenges

A Comprehensive Survey on Mobility-Aware D2D Communications: Principles, Practice and Challenges

Analysis of Route Stability in Mobile Multihop Networks Under Random Waypoint Mobility

Simulative study of random waypoint mobility model for mobile ad hoc networks

Contact Info

Product

Resources

About