Titlebook: Wireless Algorithms, Systems, and Applications; 4th International Co Benyuan Liu,Azer Bestavros,Jie Wang Conference proceedings 2009 Spring

箴言

Energy Consumption of Fair-Access in Sensor Networks with Linear and Selected Grid Topologiese primary tasks of sensor nodes is to gather data and give an accurate measurement of the sensing environment. Thus, obtaining a fair amount of data from each sensor node plays a key role to achieve this objective. In this scenario, we adopt the model of a fair-access criterion which requires that s

BIBLE

Lookahead Expansion Algorithm for Minimum Power Multicasting in Wireless Ad Hoc Networks problem in wireless ad hoc networks. SLE adopts the powerful shrinking process from our previous work, SOR (Shrinking Overlapped Range) algorithm, and adds an intelligent lookahead process to further improve the solution quality. The lookahead process (called as lookahead expansion) expands the int

inflame

Commonwealth

Energy-Efficient Composite Event Detection in Wireless Sensor Networksch as temperature, light, humidity, etc. An atomic event can be detected using one sensing component. A composite event is the combination of several atomic events. We consider a wireless sensor network densely deployed in a monitored area for reliable detection of a predefined composite event. In t

行業(yè)

Mets552

defenses

Stochastic ,-Coverage in Wireless Sensor Networksling problem to guarantee ., where each point in a field is . by at least . sensors, while maintaining .. Precisely, we propose a global framework that considers both . and . models of the sensors. For each of these sensing models, we decompose the sensor scheduling problem for .-coverage in WSNs in

Lymphocyte

Herd-Based Target Tracking Protocol in Wireless Sensor Networkscking. In this paper, we propose a herd-based target tracking protocol (HTTP) with the notions of . and . for target tracking. A sensor node has three states, namely, sleeping state, sensing state, and tracking state. Each sensor node is associated with a weight to be used to make a state transition

notice

Headstrong

Topology Inference in Wireless Mesh Networksk topology. Our approach is based on the social fingerprint, a short bit pattern computed for each node to characterize the link status of the local neighborhood of the node. To conserve the communication resource, social fingerprints are piggybacked to the gateway with a small probability. Based on