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Journal of Sensors
Volume 2016, Article ID 7314207, 21 pages
http://dx.doi.org/10.1155/2016/7314207
Research Article

Energy Efficiency of Ultra-Low-Power Bicycle Wireless Sensor Networks Based on a Combination of Power Reduction Techniques

1Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, Malaysia
2College of Electrical and Electronic Engineering Techniques, Middle Technical University, Baghdad, Iraq

Received 12 April 2016; Accepted 17 July 2016

Academic Editor: Eduard Llobet

Copyright © 2016 Sadik Kamel Gharghan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

1- Algorithm 1 has been previously described in first set of galley proofs. 2- Algorithm 2: Pseudocode for TPC-based distance estimation algorithm for outdoor velodrome. This algorithm shows the adjusting conditions of the TPC technique for the outdoor velodrome. For the indoor velodrome, the same algorithm can be used but with changes to the values of the transmitted power, data rate, and current consumption as shown in Table 4. 3-Algorithm 3: Pseudocode for TPC-based accelerometer algorithm for outdoor environment. This algorithm can be applied to the outdoor velodrome. The same algorithm can be employed for the indoor velodrome but with different values of the transmitted power, data rate, and current consumption as shown in Table 5.

  1. Supplementary Material