Low-energy algorithm for self-controlled Wireless Sensor Nodes

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

doi:10.1109/WINCOM.2016.7777188

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 proceeding › Conference 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 language	English
Title of host publication	Proceedings - 2016 International Conference on Wireless Networks and Mobile Communications, WINCOM 2016: Green Communications and Networking
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	42-46
Number of pages	5
ISBN (Electronic)	9781509038374
DOIs	https://doi.org/10.1109/WINCOM.2016.7777188
Publication status	Published - 2016 Dec 7
Event	2016 International Conference on Wireless Networks and Mobile Communications, WINCOM 2016 - Fez, Morocco Duration: 2016 Oct 26 → 2016 Oct 29

Other

Other	2016 International Conference on Wireless Networks and Mobile Communications, WINCOM 2016
Country	Morocco
City	Fez
Period	16/10/26 → 16/10/29

Keywords

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

ASJC Scopus subject areas

Computer Networks and Communications
Communication

Access to Document

10.1109/WINCOM.2016.7777188

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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

Low-energy algorithm for self-controlled Wireless Sensor Nodes. / Bin Baharudin, Ahmad Muzaffar; Saari, Mika; Sillberg, Pekka; Rantanen, Petri; Soini, Jari; Kuroda, Tadahiro.

Proceedings - 2016 International Conference on Wireless Networks and Mobile Communications, WINCOM 2016: Green Communications and Networking. Institute of Electrical and Electronics Engineers Inc., 2016. p. 42-46 7777188.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Bin Baharudin, AM, 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., 7777188, Institute of Electrical and Electronics Engineers Inc., pp. 42-46, 2016 International Conference on Wireless Networks and Mobile Communications, WINCOM 2016, Fez, Morocco, 16/10/26. https://doi.org/10.1109/WINCOM.2016.7777188

Bin Baharudin AM, Saari M, Sillberg P, Rantanen P, Soini J, Kuroda T. 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. Institute of Electrical and Electronics Engineers Inc. 2016. p. 42-46. 7777188 https://doi.org/10.1109/WINCOM.2016.7777188

Bin Baharudin, Ahmad Muzaffar ; Saari, Mika ; Sillberg, Pekka ; Rantanen, Petri ; Soini, Jari ; Kuroda, Tadahiro. / Low-energy algorithm for self-controlled Wireless Sensor Nodes. Proceedings - 2016 International Conference on Wireless Networks and Mobile Communications, WINCOM 2016: Green Communications and Networking. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 42-46

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AU - Kuroda, Tadahiro

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