Multicast operation of the ad-hoc on-demand distance vector routing protocol
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Ad Hoc Wireless Networks: Architectures and Protocols
Ad Hoc Wireless Networks: Architectures and Protocols
Delivery analysis of multicasting in BitTorrent enabled ad hoc network (MBEAN) routing
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Delivery analysis of multicasting in BitTorrent enabled ad hoc network (MBEAN) routing
Proceedings of the 2006 international conference on Wireless communications and mobile computing
The state of peer-to-peer simulators and simulations
ACM SIGCOMM Computer Communication Review
Proceedings of the 5th international conference on Mobile systems, applications and services
Performance analysis of BitTorrent enabled ad hoc network routing
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
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Routing in mobile ad hoc networks is one of the network layer problems and has been researched for quite some time. Yet there is still a need for newer routing protocols as new applications emerge. BitTorrent Enabled Ad Hoc Network (BEAN) routing was proposed for applications such as a network formed by people in a conference hall, people waiting to board a flight and spectators in a ball park. BEAN is motivated by the BitTorrent protocol used by peer-to-peer networks to share large files among a group of peers. The goal of this paper is to study the performance of Multicasting in BitTorrent Enabled Ad Hoc Network (MBEAN) routing in terms of packet delivery through simulations. We compare our results with improved Multicasting in Ad Hoc On Demand Distance Vector (MAODV) routing protocol with prediction of link breakage enabled [7]. MAODV has been tested for a configuration that is long and narrow (rectangular simulation area) resembling a highway condition which does not exactly simulate the network of our interest. We show how MBEAN compares with MAODV for a simulation area that has a more regular geometry. The results show that MBEAN has a better performance than MAODV with prediction for static and mobile networks.