System architecture directions for networked sensors
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Mathematical Techniques in Multisensor Data Fusion
Mathematical Techniques in Multisensor Data Fusion
Proceedings of the 8th annual international conference on Mobile computing and networking
Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
Controllably Mobile Infrastructure for Low Energy Embedded Networks
IEEE Transactions on Mobile Computing
Rendezvous Planning in Wireless Sensor Networks with Mobile Elements
IEEE Transactions on Mobile Computing
An unequal cluster-based routing protocol in wireless sensor networks
Wireless Networks
Using predictable observer mobility for power efficient design of sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Mobility-based communication in wireless sensor networks
IEEE Communications Magazine
Routing Correlated Data in Wireless Sensor Networks: A Survey
IEEE Network: The Magazine of Global Internetworking
Direction-based adaptive data propagation for heterogeneous sensor mobility
Journal of Parallel and Distributed Computing
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Mobile sinks (MS) mounted upon urban vehicles with fixed trajectories (e.g. buses) provide the ideal infrastructure to effectively retrieve sensory data from isolated Wireless Sensor Network (WSN) fields. Existing approaches involve either single-hop transfer of data from sensors that lie within the MS's range or heavy involvement of network periphery nodes in data retrieval, processing, buffering and delivering tasks. These nodes run the risk of rapid energy exhaustion resulting in loss of network connectivity. Our proposed protocol aims at minimizing the overall network overhead and energy expenditure associated with the multi-hop data retrieval process while also ensuring balanced energy consumption among network nodes and prolonged network lifetime. This is achieved through building cluster structures consisted of member nodes that route their measured data to their assigned cluster head (CH). CHs perform data filtering upon raw data exploiting potential spatial-temporal data redundancy and forward the filtered information to appropriate end nodes.