Low-energy algorithm for self-controlled Wireless Sensor Nodes

Ahmad Muzaffar Bin Baharudin, Mika Saari, Pekka Sillberg, Petri Rantanen, Jari Soini, Tadahiro Kuroda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2016 International Conference on Wireless Networks and Mobile Communications, WINCOM 2016: Green Communications and Networking
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages42-46
Number of pages5
ISBN (Electronic)9781509038374
DOIs
Publication statusPublished - 2016 Dec 7
Event2016 International Conference on Wireless Networks and Mobile Communications, WINCOM 2016 - Fez, Morocco
Duration: 2016 Oct 262016 Oct 29

Other

Other2016 International Conference on Wireless Networks and Mobile Communications, WINCOM 2016
CountryMorocco
CityFez
Period16/10/2616/10/29

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Keywords

  • Intelligent Sensing
  • Internet of Things (IoT)
  • Low-Energy Algorithm
  • Wireless Sensor Networks

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

Cite this

Bin Baharudin, A. M., Saari, M., Sillberg, P., Rantanen, P., Soini, J., & Kuroda, T. (2016). Low-energy algorithm for self-controlled Wireless Sensor Nodes. In Proceedings - 2016 International Conference on Wireless Networks and Mobile Communications, WINCOM 2016: Green Communications and Networking (pp. 42-46). [7777188] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WINCOM.2016.7777188