1. UKM Learning and Research Repository
2. PHD Thesis / Tesis PHD
3. Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina

Title:	Energy efficient transmission schemes for wireless sensor networks in high-performance cycling
Authors:	Sadik Kamel Gharghan Al-Hachami (P65729)
Supervisor:	Rosdiadee Nordin, Ir. Dr.
Keywords:	Wireless sensor networks
Issue Date:	17-May-2016
Description:	High-performance cycling requires a high level of endurance, supported by a high fitness level with a sufficient training program and teamwork. The biomechanical parameters of the bicycle and the physiological characteristics of the cyclist can be used to improve and refine the competitiveness of the cyclists and the team tactic training programs in cycling competitions. The bicycle parameters can be accurately measured and efficiently transmitted wirelessly to update the coach. Most of the high-performance cyclists rely on the Schoberer Rad Messtechnik (SRM) device to monitor their performance. Despite its measurement accuracy, SRM has several shortcomings, such as poor received signal as the distance between the cyclist and the coach increases and transmitting at a fixed data rate or power level. Both factors affect the power consumption and communication range capability of sensor nodes (SNs). In addition, the previous studies have not been able to satisfy the significant issues related to cycling metrics, such as power consumption, measurement accuracy, appropriate path loss models for outdoor and indoor velodromes, and localization accuracy. This research aims to propose energy efficient transmission schemes for wireless sensor networks in high-performance cycling. It was achieved by reducing the power consumption of the bicycle wireless sensor and mobile nodes and improving distance estimation accuracy of the bicycle on the cycling track. The power consumption of the bicycle SNs was reduced by using energy-efficient transmission schemes, such as merge data of speed and cadence in one sensor node, the redundancy and converged data (RCD) algorithm, and the sleep/wake algorithm. The power consumption of the mobile node on the cycle track was modified by combining adjustable data rate, sleep/wake, and transmission power control (TPC) based on two algorithms. The first algorithm was a TPC-based distance estimation, which adopted a novel hybrid particle swarm optimization-artificial neural network (PSO-ANN) using the received signal strength indicator of the Zigbee wireless protocol, while the second algorithm was a novel TPC-based accelerometer. Both algorithms were implemented in Matlab simulation. The performance accuracy of the measurement parameters was compared to the SRM system based on statistical analyses. Power saving is achieved for the speed/cadence SN (96%), torque SN (87%), and mobile node (78%), compared with the conventional wireless transmission. The measurement accuracy relative to the SRM device was measured based on the mean absolute percentage error for speed (2.27%), cadence (1.93%), and torque (8.25%). The distance estimation accuracy of the mobile node on the cycling track was improved by using the proposed hybrid PSO-ANN in both outdoor and indoor velodromes, with minimal mean absolute errors for outdoor (0.022 m) and indoor (0.208 m) velodromes.,Certification of Master's/Doctoral Thesis" is not available
Pages:	244
Call Number:	TK7872.D48A433 2016 3 tesis
Publisher:	UKM, Bangi
Appears in Collections:	Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.