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Toward a Practical Energy Conservation Mechanism With Assistance of Resourceful Mules

机译:借助机灵的Mul子寻求实用的节能机制

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As wireless sensor networks (WSNs) gradually move from specialized fields such as military and industry toward domains with general purposes, more and more sensors locate around our living areas. The reality that various wireless devices coexist in new circumstances encourages us to come up with new ideas to solve the extremely energy-constrained problem in WSNs. In this paper, we propose energy conservation with assistance of resourceful mules (ECARM), a mechanism that opportunistically utilizes resourceful mules (RMs) such as specifically designed powerful sensors or ubiquitously used laptops, tablet PCs, and smart phones to act as assistants and save energy for WSNs. We verify ECARM through extensive simulations written on the OMNET platform. Single RM simulation shows that 43% sensors in an RM’s communication range enjoy power reduction by decreasing their wake-up time to 16% at most. Multiple RM simulations illustrate that 86% sensors in the simulated network benefit from 14 RMs, and wake-up time of 56% sensors decrease to 50% below. We emphasize that ECARM can also be applied in duty-cycled WSNs that adopt schemes such as ContikiMAC and X-MAC. Simulation results demonstrate that the duty-cycling ratio of ContikiMAC is further decreased by at least 20.9% after the ECARM application.
机译:随着无线传感器网络(WSN)从军事和工业等专业领域逐渐转向具有通用目的的领域,越来越多的传感器遍布我们的生活区域。各种无线设备在新环境中共存的现实促使我们提出新的想法,以解决WSN中极其耗能的问题。在本文中,我们提出了在资源mu子(ECARM)的帮助下进行节能的方法,该机制是机会性地利用资源mu子(RM)的机制,例如专门设计的功能强大的传感器或普遍使用的笔记本电脑,平板电脑和智能手机,可以充当助手并节省能源。无线传感器网络的能量。我们通过在OMNET平台上编写的广泛模拟来验证ECARM。一次RM仿真显示,在RM通信范围内,有43%的传感器将唤醒时间最多减少到16%,从而降低了功耗。多个RM仿真表明,仿真网络中86%的传感器受益于14 RM,而56%传感器的唤醒时间减少到50%以下。我们强调ECARM也可以应用在采用ContikiMAC和X-MAC等方案的占空比WSN中。仿真结果表明,应用ECARM后,ContikiMAC的占空比进一步降低了至少20.9%。

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