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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