Hardware-Assisted Data Compression for Energy Minimization in Systems with Embedded Processors
Proceedings of the conference on Design, automation and test in Europe
Compression techniques for wireless sensor networks
Wireless sensor networks
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
A Survey on Data Compression in Wireless Sensor Networks
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II - Volume 02
In-network aggregation techniques for wireless sensor networks: a survey
IEEE Wireless Communications
Low power hardware-based image compression solution for wireless camera sensor networks
Computer Standards & Interfaces
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Power consumption is a crucial issue for Wireless Sensor Networks (WSNs). The overall energy in the WSN nodes is consumed in three distinct processes: data processing, sensing the surroundings and data transmission. If data compression is applied, the energy consumed for data processing is increased whereas the transmission power consumption is reduced. In this paper we present, for the first time, that one way of significantly reducing the overall energy consumption of a WSN framework is to off-load the compression task to small, very low-cost reconfigurable hardware devices which are connected to the main processor of the WSN nodes. Based on our real-world experiments, this innovative approach can reduce the overall energy consumed by a state-of-the-art WSN by at least 46% and up to 56%!