MobiCom '96 Proceedings of the 2nd annual international conference on Mobile computing and networking
Cluster-based scalable network services
Proceedings of the sixteenth ACM symposium on Operating systems principles
Vertical handoffs in wireless overlay networks
Mobile Networks and Applications - Special issue: mobile networking in the Internet
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Policy-Enabled Handoffs Across Heterogeneous Wireless Networks
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
A Security Architecture for Mobility-Related Services
Wireless Personal Communications: An International Journal
IEEE Communications Magazine
SUTIL - Network selection based on utility function and integer linear programming
Computer Networks: The International Journal of Computer and Telecommunications Networking
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In the future Wireless Internet, mobile nodes will be able to choose between providers offering competing services at a much finer granularity than we find today. Rather than months, service contracts may span hours or minutes. Connectivity, however, is just one of many possible services. Providers will begin to offer network and application-level services targeted at improving the overall wireless experience of the user. Determining the best path through the various networks will require accurate information describing which services are being offered by each provider. In this paper, we model the process of propagating this information as an instance of a distributed, hierarchical cache. Access routers actively discover and collect information about the immediate network neighborhood on behalf of mobile nodes. Mobiles fill their own caches through queries to their local access routers, and then employ the cached information to make informed, intelligent handover decisions. Through simulation, we show that high cache hit rates at the mobile node can be achieved even when the discovery process at the access router is incomplete. In comparison to static and centralized approaches, our dynamic approach requires less configuration and maintenance, avoids single points of failure, and provides a scalable solution that spans administrative domains.