Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Proceedings of the 9th annual international conference on Mobile computing and networking
UCAN: a unified cellular and ad-hoc network architecture
Proceedings of the 9th annual international conference on Mobile computing and networking
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 12 - Volume 13
Node Cooperation in Hybrid Ad Hoc Networks
IEEE Transactions on Mobile Computing
Ad Hoc Networking
A performance study of dual-hop transmissions with fixed gain relays
IEEE Transactions on Wireless Communications
Relay-based deployment concepts for wireless and mobile broadband radio
IEEE Communications Magazine
Integrated cellular and ad hoc relaying systems: iCAR
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Pricing for enabling forwarding in self-configuring ad hoc networks
IEEE Journal on Selected Areas in Communications
Hi-index | 0.00 |
In future wireless systems, the coverage of a base station will decrease due to the characteristics of the channel at high-frequency bands. To expand the service coverage, a hybrid network that combines an ad hoc network with a cellular (or wireless LAN) network, appears to have great potential. In such systems, some mobile users outside the service area can access the network with the aid of other intermediate mobiles. However, this method incurs energy consumption in routing users, which could be a serious obstacle for wide-spread deployment of multihop wireless networks. Therefore we consider a revenue-cost model and propose a profit-based routing strategy that encourages routing users to actively participate in the relaying service because they are compensated for their energy consumption cost. Our strategy enables each mobile node to find an appropriate multihop path to a base station (or access point) that satisfies the interests of the service provider and the users. Numerical results show that our model successfully expands the network coverage area while ensuring the profit of each system involved.