Adaptive Data Aggregation and Compression to Improve Energy Utilization in Solar-Powered Wireless Sensor Networks

Sensors

Ikjune Yoon¹  Dong Kun Noh²  Hyeok Kim² 

[1] Department of Smart Systems Software, Soongsil University, Seoul 06978, Korea;Department of Software Convergence, Soongsil University, Seoul 06978, Korea;

关键词: wireless sensor network;    energy-harvesting;    solar-powered;    aggregation;    compression;   

DOI  :  10.3390/s17061226

来源: DOAJ

【 摘 要 】

A node in a solar-powered wireless sensor network (WSN) collects energy when the sun shines and stores it in a battery or capacitor for use when no solar power is available, in particular at night. In our scheme, each tiny node in a WSN periodically determines its energy budget, which takes into account its residual energy, and its likely acquisition and consumption. If it expects to acquire more energy than it can store, the data which has it has sensed is aggregated with data from other nodes, compressed, and transmitted. Otherwise, the node continues to sense data, but turns off its wireless communication to reduce energy consumption. We compared several schemes by simulation. Our scheme reduced the number of nodes forced to black out due to lack of energy so that more data arrives at the sink node.

【 授权许可】

Unknown