Energy-Efficient Real-Time Data Compression in Wireless Sensor Networks

Abstract

Wireless sensor networks possess significant limitations in storage, bandwidth, and power. Additionally, real-time sensor networks cannot tolerate high latency. While some good compression algorithms exist specific to sensor networks, in this paper we present an energy-efficient method with highcompression ratio that reduces latency, storage and bandwidth usage further in comparison with some other recently proposed algorithms. Our Huffman style compression scheme exploits temporal locality and delta compression to provide better bandwidth utilization in the network, thus reducing latency for real time applications. Our performance evaluations show comparable compression ratios and energy savings with a significant decrease in latency compared to some other existing approaches.

Energy Efficient Protocols for Wireless Sensor Networks: A Survey and Approach

“…The amount of energy the network spends for transmitting one data packet can be minimizes by applying data compression [19] techniques, because if the data packet will be heavier it will consume more energy. There are many energy efficient protocol in each layer have been proposed to prevent the energy consumption in sensor nodes too.…”