An Overview of Own Tracking Wireless Sensors with GSM-GPS Features

Author:

Yassin-Kassab Hamed,Marius-Corneliu Rosu

Abstract

Wireless Sensors (WS) mobility and pause time have a major impact directly influencing the energy consumption. Lifetime of a WS Network (WSN) depends directly on the energy consumption, thus, the hardware and software components must be optimized for energy management. This study aims to combine a compact hardware architecture with a smart energy management efficiency in order to increase ratio Lifetime/Energy Consumption, to improve the operating time on a portable tracking system with GPS/GSM/GPRS features and own power. In this paper we present the evolution of own WS tracking architecture with GPS/GSM/GPRS features, basic criterion being the lifetime combined with low power consumption. Concern was focused on hardware and software areas: Large number of physical components led to reconsideration of hardware architecture, while for software, we focused on algorithms able to reduce the number of bits in transmitted data packets, which help to reduce energy consumption. The results and conclusions show that the goal was achieved.

Publisher

Taiwan Association of Engineering and Technology Innovation

Subject

Management of Technology and Innovation,General Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Environmental Engineering,General Computer Science

Reference72 articles.

1. J. Wang, J. Cho, S. Lee, K. C. Chen, and Y. K. Lee, “Hop-Based Energy Aware Routing Algorithm for Wireless Sensor Networks,” IEICE Transactions on Communication 2010, vol. E93.B, no. 2, pp. 305-316, 2010.

2. W. Heinzelman, “Application-Specific Protocol Architectures for Wireless Networks,” Ph.D. Thesis, Massachusetts Institute of Technology: Cambridge, MA, USA, pp. 84-86, 2000.

3. J. Wang, J. U. Kim, S. Lei, Y. Niu, and L. Sungyoung, “A Distance-Based Energy Aware Routing Algorithm for Wireless Sensor Networks,” Sensors, vol. 10, pp. 9493-9511, 2010.

4. O. Younis and S. Fahmy, “HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks,” IEEE Transactions on Mobile Computing, vol. 3, no. 4, pp. 366-379, October-December 2004, doi:10.1109/TMC.2004.41.

5. C. H. Yassin and M. C. Rosu, “Energy-Saving Strategies in Monitoring for Wireless Sensor Networks,” The 21th IEEE International Symposium for Design and Technology in Electronic Packaging (SIITME 2015), Brasov, Romania October 2015.

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