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Maximizing Sensor Reuse Based on New Geometric Concepts

机译:基于新的几何概念最大化传感器的重复使用

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A wireless sensor network is composed of a distributed collection of nodes which corporate in performing sensing, computation and communication tasks. Since sensor nodes operate on battery power, their communication range will decline as time passes. When the energy of the sensor nodes has declined to a level that they cannot communicate with each other, the network cannot be sustained and might be replaced by a new sensor network. However, the old sensors may have a lot of valuable data, and it is wise to retrieve as much information as possible from the old sensors. The maximum sensor reuse problem concerns deploying the new sensor network to maximize the number of old sensors that can communicate with the sensors in the newly deployed network. This paper proposes two new geometric concepts, network distance and network bisector, and uses them to solve the maximum sensor reuse problem. Specifically, the maximum sensor reuse problem can be solved in O(n~2 log n) time if n existing sensors are to be considered.
机译:无线传感器网络由节点的分布式集合组成,这些节点协同执行传感,计算和通信任务。由于传感器节点依靠电池供电,因此它们的通信范围将随着时间的流逝而减小。当传感器节点的能量下降到无法相互通信的水平时,网络将无法维持,可能会被新的传感器网络所取代。但是,旧传感器可能有很多有价值的数据,明智的是从旧传感器中检索尽可能多的信息。最大的传感器重用问题涉及部署新的传感器网络,以最大程度地增加可以与新部署的网络中的传感器通信的旧传感器的数量。本文提出了两个新的几何概念,即网络距离和网络平分线,并用它们来解决最大的传感器重用问题。具体而言,如果要考虑n个现有传感器,则可以在O(n〜2 log n)时间内解决最大传感器重用问题。

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