Tampere University of Technology

TUTCRIS Research Portal

Low-energy algorithm for self-controlled wireless sensor nodes

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Original languageEnglish
Title of host publicationThe 4th International Conference on Wireless Networks and Mobile Communications (WINCOM), At Fez, Morocco
Subtitle of host publicationOct 26, 2016 - Oct 29, 2016
Number of pages5
ISBN (Electronic)978-1-5090-3837-4
Publication statusPublished - Oct 2016
Publication typeA4 Article in a conference publication
EventInternational conference on wireless networks and mobile communications -
Duration: 12 Dec 2016 → …


ConferenceInternational conference on wireless networks and mobile communications
Period12/12/16 → …


In Internet of Things (IoT), the lifespan of Wireless Sensor Networks (WSN) has often become an issue. Sensor nodes are typically battery powered. However, high energy consumption by Radio Frequency (RF) module limits the lifespan of sensor nodes. In conventional WSN, the frequency of data transmission is normally fixed or adjusted according to requests from the gateway. In this paper, we present a WSN system for intelligent sensing. We propose a low-energy algorithm for sensor data transmission from sensor nodes for such system. In this algorithm, the sensor nodes are able to self-control their data transmission according to the trends of data. We adopt Adaptive Duty Cycle for adjustment of data transmission frequency and Compressive Sensing (CS) for sensor data compression. The simulation results show that Collective Transmission with CS-based data compression achieves 83.34% of RF energy reduction for the best-case transmission and 83.31% of RF energy reduction in the worst-case transmission, compared to the Continuous Transmission.

Publication forum classification

Field of science, Statistics Finland