Maximal lifetime scheduling for K to 1 sensor-target surveillance networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Maximal Lifetime Scheduling for Sensor Surveillance Systems with K Sensors to One Target
IEEE Transactions on Parallel and Distributed Systems
Maximizing lifetime of sensor surveillance systems
IEEE/ACM Transactions on Networking (TON)
Genetic Algorithm for Clustering in Wireless Adhoc Sensor Networks
GSN '09 Proceedings of the 3rd International Conference on GeoSensor Networks
A dynamic multiobjective hybrid approach for designing wireless sensor networks
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
SpecNet: spectrum sensing sans frontières
Proceedings of the 8th USENIX conference on Networked systems design and implementation
A cluster-based algorithm for redundant nodes discovery in dense sensor networks
International Journal of Sensor Networks
A GIS based wireless sensor network coverage estimation and optimization: a voronoi approach
Transactions on Computational Science XIV
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A wireless sensor network is a special kind of ad-hoc networkwith distributed sensing and processing capability thatcan be used in a wide range of applications, such as environmentalmonitoring, industrial applications and precisionagriculture. Despite their potential applications, suchnetworks have particular features imposed by resource restrictions,such as low computational power, reduced bandwidthand specially limited power source. In case of a networkwith a high density of sensor nodes, some problemsmay arise such as the intersection of sensing area, redundantdata, communication interference, and energy waste.A management application is necessary to make the most ofnetwork resources. On the other hand, a high-density networkcan introduce a fault-tolerant mechanism, increaseprecision, and provide multi-resolution data. The networkdensity control depends on the application. In this paper, wepropose a method to set up which nodes should be turned offor on. The management may take the sensor node out of servicetemporally. Our design uses a Voronoi Diagram, whichdecomposes the space into regions around each node. Thatschema could be used in a management architecture for awireless sensor network.