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An Energy-Efficient and Secure Hybrid Algorithm for Wireless Sensor Networks Using a Mobile Data Collector

机译:一种使用移动数据收集器的无线传感器网络的节能和安全混合算法

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This paper proposes a new hybrid algorithm for security, which incorporates both distributed and hierarchal approaches. It uses a mobile data collector (MDC) to collect information in order to save energy of sensor nodes in a wireless sensor network (WSN) as, in most networks, these sensor nodes have limited energy. Wireless sensor networks are prone to security problems because, among other things, it is possible to use a rogue sensor node to eavesdrop on or alter the information being transmitted. To prevent this, this paper introduces a security algorithm for MDC-based WSNs. A key use of this algorithm is to protect the confidentiality of the information sent by the sensor nodes. The sensor nodes are deployed in a random fashion and form group structures called clusters. Each cluster has a cluster head. The cluster head collects data from the other nodes using the time-division multiple access protocol. The sensor nodes send their data to the cluster head for transmission to the base station node for further processing. The MDC acts as an intermediate node between the cluster head and base station. The MDC, using its dynamic acyclic graph path, collects the data from the cluster head and sends it to base station. This approach is useful for applications including warfighting, intelligent building and medicine. To assess the proposed system, the paper presents a comparison of its performance with other approaches and algorithms that can be used for similar purposes.
机译:本文提出了一种新的安全性算法,它包含分布式和层次方法。它使用移动数据收集器(MDC)来收集信息,以便在无线传感器网络(WSN)中将传感器节点的能量节省在大多数网络中,这些传感器节点能量有限。无线传感器网络容易出现安全问题,因为在其他事情中,可以使用流氓传感器节点来窃听或改变正在发送的信息。为防止此,本文介绍了一种基于MDC的WSN的安全算法。该算法的密钥使用是保护传感器节点发送的信息的机密性。传感器节点以随机的方式部署,并形成名为Clusters的组结构。每个群集都有一个簇头。群集头使用时分多址协议从其他节点收集数据。传感器节点将其数据发送到群集头以用于传输到基站节点以进行进一步处理。 MDC充当簇头和基站之间的中间节点。使用其动态无循环图路径的MDC从群集头部收集数据并将其发送到基站。这种方法对于包括战争,智能建筑和医学的应用是有用的。为了评估所提出的系统,本文提出了与可用于类似目的的其他方法和算法的性能的比较。

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