Energy-efficient caching strategies in ad hoc wireless networks
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Efficient cache placement in multi-hop wireless networks
IEEE/ACM Transactions on Networking (TON)
Fast track article: Enabling opportunistic storage for mobile DTNs
Pervasive and Mobile Computing
Cooperative caching in wireless multimedia sensor networks
Mobile Networks and Applications
3DLS: density-driven data location service for mobile ad-hoc networks
Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing
Machine learning in disruption-tolerant MANETs
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Machine learning approach to report prioritization with an application to travel time dissemination
Proceedings of the Second International Workshop on Computational Transportation Science
In-network query processing in mobile P2P databases
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
REDMAN: An optimistic replication middleware for read-only resources in dense MANETs
Pervasive and Mobile Computing
Efficient cooperative caching schemes for data access in mobile ad hoc networks
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
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Terminal's latency, connectivity, energy and memory are the main characteristics of today's mobile environments whose performance may be improved by caching. In this paper, we present an adaptive scheme for mobile Web data caching, which accounts for congestion of the wireless network and energy limitation of mobile terminals. Our main design objective is to minimize the energy cost of peer-to-peer communication among mobile terminals so as to allowfor unexpensive Web access when a fixed access point is not available in the communication range of the mobile terminal. We propose a collaborative cache management strategy among mobile terminals interacting via an ad-hoc network. We further provide evaluation of the proposed solution in terms of energy consumption on mobile devices.