Adaptive Method for Decreasing Over-covered Areas in Wireless Sensor Networks

M. Negahdar, M. Ardebilipour, M. Mapar
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引用次数: 2

Abstract

Sensor networks specifications are highly dependent on the application defined for the network. In this paper we tried to achieve adaptive method for decreasing over-covered areas using a simple selection algorithm in order to cover the desired percentage using a minimum number of active sensors and thus achieving to a higher life time for the whole network. The main advantage of this sensor-based algorithm is its selections that do not need a centralized coordination and thus increase the independence of each node from the whole network. In addition the networkpsilas robustness is increased and it becomes more resistant to unpredictable problems and network can adapt itself to different situations. Another advantage of the algorithm is that it does not need any sensor to locate the geographic location of each node. This algorithm leads finally to the possibility of more application and better usage of a presented wireless sensor network.
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减少无线传感器网络覆盖面积的自适应方法
传感器网络规格高度依赖于为网络定义的应用程序。在本文中,我们尝试使用简单的选择算法实现自适应方法来减少过度覆盖区域,以便使用最少数量的有源传感器覆盖所需的百分比,从而实现整个网络的更高寿命。这种基于传感器的算法的主要优点是它的选择不需要集中协调,从而增加了每个节点对整个网络的独立性。此外,增强了网络的鲁棒性,增强了网络对不可预测问题的抵抗力,使网络能够适应不同的情况。该算法的另一个优点是不需要任何传感器来定位每个节点的地理位置。该算法最终使所提出的无线传感器网络有可能得到更广泛的应用和更好的利用。
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