Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Routing in a delay tolerant network
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Routing in multi-radio, multi-hop wireless mesh networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Modeling mobility for vehicular ad-hoc networks
Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks
Mobility Modeling of Outdoor Scenarios for MANETs
ANSS '05 Proceedings of the 38th annual Symposium on Simulation
A new networking model for biological applications of ad hoc sensor networks
IEEE/ACM Transactions on Networking (TON)
Study of a bus-based disruption-tolerant network: mobility modeling and impact on routing
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Computational Geometry: Algorithms and Applications
Computational Geometry: Algorithms and Applications
Real-world environment models for mobile network evaluation
IEEE Journal on Selected Areas in Communications
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DTN is an approach to communicate in easily disrupted or delayed networks. Examples of such networks are often found in heterogeneous networks, mobile or extreme terrestrial networks, or planned networks in space. Recently, many studies have used wireless LAN in a DTN environment because the WLAN offers easy installation, competitive price, and popular Wi-Fi devices. This paper is about modeling and analyzing the metropolitan bus network as a DTN environment. Modern metropolitan bus networks already offer IT services such as BIS; however, their networks may be appropriate for communicating narrow-band data in real time, but not for wide-band data in a DTN environment. In order to apply WLAN as an alternative solution for communicating wide-band data in DTNs, we need to understand the DTN characteristics of metropolitan bus networks. We perform spatial, temporal, and mobility modeling via simulation. Based on our simulation results, we provide qualitative and quantitative analysis reports about the use of WLAN in metropolitan bus networks.