Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
A scalable location service for geographic ad hoc routing
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
A directionality based location discovery scheme for wireless sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
The bits and flops of the n-hop multilateration primitive for node localization problems
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Geocasting in Mobile Ad Hoc Networks: Location-Based Multicast Algorithms
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Mobility-assisted resolution of queries in large-scale mobile sensor networks (MARQ)
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Wireless sensor networks
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A data querying scheme is introduced for sensor networks where queries formed for each sensing task are sent to task sets. The sensor field is partitioned into subregions by using quadtree based addressing, and then a given number of sensors from each subregion are assigned to each task set by using a distributed algorithm. The number of nodes in a task set depends on the task specifications. Hence, the sensed data is retrieved from a sensor network in the level of detail specified by users, and a tradeoff mechanism between data resolution and query cost is provided. Experiments show that the dynamic task sets scheme systematically reduces the number of sensors involved in a query in the orders of magnitude in the expense of slight reduction in the event detection rate.