For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Mutual Information Evaluation and Optimization of Intermittent Transmission Methods in Energy Harvesting Wireless Sensor Networks
Xiaohui FAN Hiraku OKADA Kentaro KOBAYASHI Masaaki KATAYAMA
IEICE TRANSACTIONS on Communications
Publication Date: 2014/09/01
Online ISSN: 1745-1345
Type of Manuscript: Special Section PAPER (Special Section on Ambient Intelligence and Sensor Networks)
mutual information, temporal correlation, spatial correlation, energy harvesting, wireless sensor network,
Full Text: PDF>>
Energy harvesting technology was introduced into wireless sensor networks (WSNs) to solve the problem of the short lifetimes of sensor nodes. The technology gives sensor nodes the ability to convert environmental energy into electricity. Sufficient electrical energy can lengthen the lifetime and improve the quality of service of a WSN. This paper proposes a novel use of mutual information to evaluate data transmission behavior in the energy harvesting WSNs. Data at a sink for a node deteriorates over time until the next periodic transmission from the node is received. In this paper, we suggest an optimized intermittent transmission method for WSNs that harvest energy. Our method overcomes the problem of information deterioration without increasing energy cost. We show that by using spatial correlation between different sensor nodes, our proposed method can mitigate information deterioration significantly at the sink.