Titlebook: Coverage Control in Sensor Networks; Bang Wang Book 2010 Springer-Verlag London 2010 Bang.Coverage Control.Coverage Model.Network Coverage

Motion

書目名稱Coverage Control in Sensor Networks影響因子(影響力)




書目名稱Coverage Control in Sensor Networks影響因子(影響力)學(xué)科排名




書目名稱Coverage Control in Sensor Networks網(wǎng)絡(luò)公開度




書目名稱Coverage Control in Sensor Networks網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Coverage Control in Sensor Networks被引頻次




書目名稱Coverage Control in Sensor Networks被引頻次學(xué)科排名




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書目名稱Coverage Control in Sensor Networks讀者反饋




書目名稱Coverage Control in Sensor Networks讀者反饋學(xué)科排名

inspired

Network Coverage Controltwork coverage control can be formulated and solved in many different approaches. The remaining chapters are devoted to elaborating some basic network coverage control problems and their variants. At first, this chapter discusses its motivations and challenges, and also provides a taxonomy of the coverage control problems in sensor networks.

Cholagogue

1617-7975 s.Includes supplementary material: The advances in sensor design have decreased the size, weight, and cost of sensors by orders of magnitude, yet with the increase of higher spatial and temporal re- lution and accuracy. With the fast progress of sensors design and communications technique, sensor ne

象形文字

Book 2010 temporal re- lution and accuracy. With the fast progress of sensors design and communications technique, sensor networks have also been quickly evolving in both research and practical domains in the last decade. More and more sensor networks have been - ployed in real-world to gather information fo

使隔離

Wach- & Schlie?gesellschaft Deutschlandes and environments for many decades. A sensor node consists of not only sensor unit but also microcontroller unit, communication unit, storage unit, and power supply for producing, collecting, storing, processing, and delivering sensory data. The size and cost of a single sensor node has been reduc

motivate

Wach- & Schlie?gesellschaft Deutschlandn sense physical phenomena at some locations, or in other words, how well sensors can cover such locations. In almost all cases, sensor coverage models can be mathematically formulated as a coverage function of distances and angles. The inputs of such a coverage function are the distances between a

motivate

BRACE

Wach- & Schlie?gesellschaft Deutschlandent the sensor field (e.g., the vertices of a grid) or are used to model some physical targets in the sensor field (e.g., the missile launchers in a battlefield). In order to cover these points, sensor nodes can be deterministically placed or randomly deployed in the sensor field. In a random networ

退潮

sorbitol

https://doi.org/10.1007/978-3-531-91091-8one sensor. . is defined as the number of nodes per unit area. In a homogeneous sensor network, the . (CSD) provides an insight on the minimal number of nodes required for complete area coverage. In deterministic sensor placement, it is desirable to know not only the minimal number of nodes but also