Energy-Efficient Distributed Estimation Using Content-Based Wake-Up in Wireless Sensor Networks

Hitoshi KAWAKITA  Hiroyuki YOMO  Petar POPOVSKI  

Publication
IEICE TRANSACTIONS on Communications   Vol.E104-B   No.4   pp.391-400
Publication Date: 2021/04/01
Publicized: 2020/09/29
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2020EBT0003
Type of Manuscript: PAPER
Category: Network
Keyword: 
wireless sensor networks,  wake-up receiver,  MAC protocol,  energy-efficiency,  

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Summary: 
In this paper, we advocate applying the concept of content-based wake-up to distributed estimation in wireless sensor networks employing wake-up receivers. With distributed estimation, where sensing data of multiple nodes are used for estimating a target observation, the energy consumption can be reduced by ensuring that only a subset of nodes in the network transmit their data, such that the collected data can guarantee the required estimation accuracy. In this case, a sink needs to selectively wake up those sensor nodes whose data can contribute to the improvement of estimation accuracy. In this paper, we propose wake-up signaling called estimative sampling (ES) that can selectively activate the desired nodes by using content-based wake-up control. The ES method includes a mechanism that dynamically searches for the desired nodes over a distribution of sensing data. With numerical results obtained by computer simulations, we show that the distributed estimation with ES method achieves lower energy consumption than conventional identity-based wake-up while satisfying the required accuracy. We also show that the proposed dynamic mechanism finely controls the trade-off between delay and energy consumption to complete the distributed estimation.