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Energy efficiency is one of the most important design metrics for wireless sensor networks. As sensor data always have redundancies, compression is introduces for energy savings. However, different emphases on algorithm design influence the operation effect of compression under various applications and network environments. In order to improve the energy utilization efficiency for the whole network,...
Energy efficiency is one of the most important design metrics for wireless sensor networks. As sensor data always have redundancies, compression is introduced for energy savings. In this paper, a lightweight compression algorithm for data with spatial correlation is proposed, which can be implemented on resource constrained nodes to reduce the total energy costs in the whole networks. By adopting...
Energy efficiency is one of the most important design metrics for wireless sensor networks. As sensor data always have redundancies, compression is introduced for energy savings. In this paper, a lightweight compression algorithm for data with spatial correlation is proposed, which can be implemented on resource constrained nodes to reduce the total energy costs in the whole networks. By adopting...
Previous studies have indicated that data compression in wireless sensor networks is not always beneficial to energy conservation due to the additional computational energy costs. This work gives an energy-efficient arbitration mechanism that enhances the performance of compression algorithms by avoiding unnecessary energy losses. The adaptive compression arbitration system uses a new prediction modeling...
Energy efficiency is one of the most important design metrics for wireless sensor networks. As sensor data always have redundancies, compression is introduced for energy savings. However, in some cases, it is unlikely to be wise to trade computation energy for communication savings. In this paper, a novel node-level compression arbitration mechanism is proposed, which is applied to improve compression...
Resource constraints make it considerably difficult to implement and optimize cryptography algorithms on sensor nodes. In order to provide guidelines for design, it is necessary to predict overheads of these algorithms without final implementations and optimizations. In this paper, a mathematical model based on overheads of basic operations frequently used in cryptography algorithms is presented for...
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