MDMC:一种最小化数据失真的无线传感器网络合作协议

F. Rango, A. Santamaria, P. Fazio, P. Raimondo
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引用次数: 1

摘要

本文提出了一种在无线传感器网络中实现网络协作的新协议,降低了控制开销,减少了数据失真。其目的是选择能够覆盖现象的最小传感器数量,并将不相关的数据报告到接收器,以减少失真。提出的协议被称为最大覆盖最小失真(MDMC)协议,它一方面尝试逐渐扩大覆盖现象区域,另一方面减少由传感器相互作用引起的失真。为了实现这一目标,该协议使用了两种启发式方法以及激活技术,第一种方法是根据传感器的特征选择传感器,而第二种方法是减少参与联盟形成过程的传感器数量。并与基于聚类的局部协商聚类算法(LNCA)进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MDMC: A WSN cooperative protocol for Minimizing the Data Distortion
In this work a new protocol able to obtain network cooperation in a wireless sensor network reducing the control overhead and reducing the data distortion is developed. Its aim is to select the minimum number of sensors able to cover the phenomena and to report not correlated data to the sink in order to reduce distortion. The proposed protocol is called Minimal Distortion with Maximal Cover (MDMC) protocol and it tries, on the one hand, to gradually expand the covered phenomenon area and, on the other hand to reduce the distortion that arises from the interaction of the sensors. To reach this goal, the protocol uses two heuristics along with an activation technique, the first ones select the sensors on the basis of their features, whereas the second one decreases the number of sensors which take part in the coalition formation process. The proposed has been compared with a cluster based protocol such as Local Negotiated Clustering Algorithm (LNCA).
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