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An Outline of Data Aggregation Security in Heterogeneous Wireless Sensor Networks

机译:异构无线传感器网络中数据聚合安全性概述

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Data aggregation processes aim to reduce the amount of exchanged data in wireless sensor networks and consequently minimize the packet overhead and optimize energy efficiency. Securing the data aggregation process is a real challenge since the aggregation nodes must access the relayed data to apply the aggregation functions. The data aggregation security problem has been widely addressed in classical homogeneous wireless sensor networks, however, most of the proposed security protocols cannot guarantee a high level of security since the sensor node resources are limited. Heterogeneous wireless sensor networks have recently emerged as a new wireless sensor network category which expands the sensor nodes’ resources and capabilities. These new kinds of WSNs have opened new research opportunities where security represents a most attractive area. Indeed, robust and high security level algorithms can be used to secure the data aggregation at the heterogeneous aggregation nodes which is impossible in classical homogeneous WSNs. Contrary to the homogeneous sensor networks, the data aggregation security problem is still not sufficiently covered and the proposed data aggregation security protocols are numberless. To address this recent research area, this paper describes the data aggregation security problem in heterogeneous wireless sensor networks and surveys a few proposed security protocols. A classification and evaluation of the existing protocols is also introduced based on the adopted data aggregation security approach.
机译:数据聚合过程旨在减少无线传感器网络中交换的数据量,从而最小化数据包开销并优化能源效率。确保数据聚合过程的安全是一个真正的挑战,因为聚合节点必须访问中继数据才能应用聚合功能。数据聚合安全性问题已在经典的同类无线传感器网络中得到了广泛解决,但是,由于传感器节点资源受到限制,大多数提议的安全协议不能保证高级别的安全性。异构无线传感器网络最近已成为一种新的无线传感器网络类别,可扩展传感器节点的资源和功能。这些新型的无线传感器网络打开了新的研究机会,其中安全性是最有吸引力的领域。实际上,可以使用鲁棒且高安全级别的算法来保护异构聚合节点上的数据聚合,这在传统的同质WSN中是不可能的。与同类传感器网络相反,数据聚合安全性问题仍然没有得到充分解决,并且提出的数据聚合安全性协议数量不多。为了解决这个最近的研究领域,本文描述了异构无线传感器网络中的数据聚合安全问题,并调查了一些提议的安全协议。还基于采用的数据聚合安全性方法对现有协议进行了分类和评估。

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