Al-Mekhlafi Zeyad Ghaleb, Hanapi Zurina Mohd, Othman Mohamed, Zukarnain Zuriati Ahmad
Department of Communication Technology and Network, Faculty of Computer Science and Information Technology, Universiti Ptura Malaysia, UPM 43300, Selangor, Malaysia.
PLoS One. 2017 Jan 5;12(1):e0167423. doi: 10.1371/journal.pone.0167423. eCollection 2017.
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.
最近，基于脉冲耦合振荡器（PCO）的行波在无线传感器网络（WSN）同步研究中引起了广泛关注。由于无线传感器网络通常是模仿自然现象的人工系统，PCO利用萤火虫吸引交配伙伴的同步机制对无线传感器网络进行建模。然而，由于传感器节点在传输数据包时无法接收消息（即耳聋现象），PCO模型在传感器网络建模中可能效率不高。为克服这一局限性，本文提出了一种名为行波脉冲耦合振荡器（TWPCO）的新方案。为此，该研究采用了一种针对节能无线传感器网络的自组织方案，该方案采用基于PCO模型锁相的行波生物启发网络系统来克服耳聋现象。通过仿真发现，所提出的TWPCO方案在经过多个周期后达到了稳态。与其他机制相比，它还表现出优越的性能，总能耗降低了25%。结果表明，在数据收集方面性能提高了13%。基于这些结果，所提出的方案避免了无线传感器网络中传输状态下出现的耳聋现象，并提高了无线传感器网络在整个传输状态下的数据收集能力。
