FAT-WSN: A Non Destructive and Secure Aggregation Strategy for Energy Saving in WSN

2019 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2019-12-01 DOI:10.1109/GCWkshps45667.2019.9024492

Dongchao Ma, Guangxing Han, Ailing Xiao, Yuekun Hu, Syed Hassan Ahmed, G. Aujla, Haotong Cao

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引用次数: 4

Abstract

Data compression is one main method for energy-saving optimization of the Internet of Things (IOT). However, the operational capability and the battery of nodes are relatively weak, and the continuous data compression brings potential data security and reliability risks. In this paper, a fragment aggregation strategy for transmission in wireless sensor network (FAT-WSN) is proposed to minimize the number of data fragments and energy consumption with secure sensing. The FATWSN is regarded as a problem of Mixed Integer Programming (MIP), which is then solved in an iterative way with considerable elasticity and low complexity. In addition, by adjusting the routing planning and traffic distribution, the FAT-WSN optimizes the number of data transfers without destructing any data or introducing a compression calculation burden. Experimental results show that the proposed FAT-WSN can effectively reduce the number of data transfers, cut down the energy consumption, and attains standout performance on network life without extra time overhead, when compared with existing data aggregation methods of the same kind.

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FAT-WSN:一种无损安全的WSN节能聚合策略

数据压缩是物联网节能优化的主要方法之一。但节点的运行能力和电池相对较弱，持续的数据压缩带来了潜在的数据安全可靠性风险。本文提出了一种用于无线传感器网络(FAT-WSN)传输的分片聚合策略，在安全感知的前提下，最大限度地减少数据分片数量和能耗。将FATWSN视为一个混合整数规划(MIP)问题，采用具有较强弹性和较低复杂度的迭代方法进行求解。此外，FAT-WSN通过调整路由规划和流量分配，在不破坏任何数据或引入压缩计算负担的情况下优化数据传输数量。实验结果表明，与现有的同类数据聚合方法相比，所提出的FAT-WSN可以有效地减少数据传输次数，降低能耗，在不增加额外时间开销的情况下，在网络寿命方面取得了突出的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 IEEE Globecom Workshops (GC Wkshps)

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