Travelling Wave Pulse Coupled Oscillator (TWPCO) Using a Self-Organizing Scheme for Energy-Efficient Wireless Sensor Networks

被引:6
|
作者
Al-Mekhlafi, Zeyad Ghaleb [1 ]
Hanapi, Zurina Mohd [1 ]
Othman, Mohamed [1 ]
Zukarnain, Zuriati Ahmad [1 ]
机构
[1] Univ Ptura Malaysia, Fac Comp Sci & Informat Technol, Dept Commun Technol & Network, Upm 43300, Selangor, Malaysia
来源
PLOS ONE | 2017年 / 12卷 / 01期
关键词
PHASE-RESETTING CURVES; CLOCK SYNCHRONIZATION;
D O I
10.1371/journal.pone.0167423
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Recently, Pulse Coupled Oscillator (PCO)-based travelling waves have attracted substantial attention by researchers in wireless sensor network (WSN) synchronization. Because WSNs are generally artificial occurrences that mimic natural phenomena, the PCO utilizes firefly synchronization of attracting mating partners for modelling the WSN. However, given that sensor nodes are unable to receive messages while transmitting data packets (due to deafness), the PCO model may not be efficient for sensor network modelling. To overcome this limitation, this paper proposed a new scheme called the Travelling Wave Pulse Coupled Oscillator (TWPCO). For this, the study used a self-organizing scheme for energy-efficient WSNs that adopted travelling wave biologically inspired network systems based on phase locking of the PCO model to counteract deafness. From the simulation, it was found that the proposed TWPCO scheme attained a steady state after a number of cycles. It also showed superior performance compared to other mechanisms, with a reduction in the total energy consumption of 25%. The results showed that the performance improved by 13% in terms of data gathering. Based on the results, the proposed scheme avoids the deafness that occurs in the transmit state in WSNs and increases the data collection throughout the transmission states in WSNs.
引用
收藏
页数:27
相关论文
共 50 条
  • [1] Desynchronization Traveling Wave Pulse-Coupled-Oscillator Algorithm Using a Self-Organizing Scheme for Energy-Efficient Wireless Sensor Networks
    Alshudukhi, Jalawi Sulaiman
    Al-Mekhlafi, Zeyad Ghaleb
    Alshammari, Mohammad T.
    Mohammed, Badiea Abdulkarem
    IEEE ACCESS, 2020, 8 : 196223 - 196234
  • [2] Energy-efficient self-organizing communication protocols for wireless sensor networks
    Block, FJ
    Baum, CW
    2001 MILCOM, VOLS 1 AND 2, PROCEEDINGS: COMMUNICATIONS FOR NETWORK-CENTRIC OPERATIONS: CREATING THE INFORMATION FORCE, 2001, : 362 - 366
  • [3] An energy-efficient self-organizing global extremity reporting scheme for sensor networks
    Sakhaee, Ehssan
    Wakamiya, Naoki
    Murata, Masayuki
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2009, 9 (04): : 543 - 555
  • [4] Random traveling wave pulse-coupled oscillator algorithm of energy-efficient wireless sensor networks
    Al-Mekhlafi, Zeyad Ghaleb
    Hanapi, Zurina Mohd
    Othman, Mohamed
    Zukarnain, Zuriati Ahmad
    Saleh, Ahmed M. Shamsan
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2018, 14 (04):
  • [5] Energy-Efficient Self-Organizing Routing for Wireless Mobile Networks
    Moh, Melody
    Kukanur, Rashmi
    Lin, Xuquan
    Dhar, Subhankar
    INTERNATIONAL JOURNAL OF BUSINESS DATA COMMUNICATIONS AND NETWORKING, 2009, 5 (04) : 52 - 69
  • [6] On energy-efficient self-organizing routing for wireless mobile networks
    Moh, Melody
    Kukanur, Rashmi
    Lin, Xuquan
    Dhar, Subhankar
    2007 IEEE GLOBECOM WORKSHOPS, PROCEEDINGS, 2007, : 321 - +
  • [7] Energy-efficient data acquisition using a distributed and self-organizing scheduling algorithm for wireless sensor networks
    Chatterjea, Supriyo
    Nieberg, Tim
    Zhang, Yang
    Havinga, Paul
    DISTRIBUTED COMPUTING IN SENSOR SYSTEMS, PROCEEDINGS, 2007, 4549 : 368 - +
  • [8] A distributed and self-organizing scheduling algorithm for energy-efficient data aggregation in wireless sensor networks
    Chatterjea, Supriyo
    Nieberg, Tim
    Meratnia, Nirvana
    Havinga, Paul
    ACM TRANSACTIONS ON SENSOR NETWORKS, 2008, 4 (04)
  • [9] Collaborative signal processing for energy-efficient self-organizing wireless sensor network
    Conti, A
    Dardari, D
    Verdone, R
    2004 INTERNATIONAL WORKSHOP ON WIRELESS AD-HOC NETWORKS, 2005, : 99 - 104
  • [10] Energy-Efficient Monitoring of Distributed System Resources for Self-Organizing Sensor Networks
    Dressler, Falko
    Neuner, Dominik
    2013 IEEE TOPICAL CONFERENCE ON WIRELESS SENSORS AND SENSOR NETWORKS (WISNET), 2013, : 145 - 147