Enhancement of Energy Harvesting Efficiency in Mobile Wireless Sensor Networks

Amin H. Al-Ka'bi
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引用次数: 4

Abstract

In this research work, a proposed method for extending the lifetime of energy-constrained Mobile wireless sensor networks (MWSNs) is presented. This method is based on the fact that RF signal carries both information and energy at the same time. Hence, by increasing the efficiency of energy harvesting from radio frequency (RF) signals, the lifetime of the wireless network can be significantly extended. The Simultaneous Wireless Information and Power Transfer (SWIPT) in this technique enables harvesting of energy by relay nodes which in turn can be used for wireless data transmission. In order to enhance the lifetime of the mobile wireless network, the transmitted RF energy can be recycled at the receiver side. On the other hand, a balance between energy harvesting and wireless data transmission is required in order to maximize the overall efficiency of the system. Particle Swarm Optimization (PSO) is employed to obtain the optimum resource allocation policies which maximizes the system energy efficiency. A cost function is framed for this purpose and PSO attains maximum energy efficiency by improving the solution of the cost function at each iteration with respect to given constraints.
移动无线传感器网络能量收集效率的提高
在这项研究工作中,提出了一种延长能量受限移动无线传感器网络(MWSNs)寿命的方法。这种方法是基于射频信号同时携带信息和能量的事实。因此,通过提高从射频(RF)信号中收集能量的效率,可以显著延长无线网络的寿命。该技术中的同步无线信息和能量传输(SWIPT)能够通过中继节点收集能量,而中继节点又可以用于无线数据传输。为了提高移动无线网络的使用寿命,可以在接收端回收发射的射频能量。另一方面,为了使系统的整体效率最大化,需要在能量收集和无线数据传输之间取得平衡。采用粒子群算法(PSO)获得系统能源效率最大化的最优资源分配策略。为此目的构建了一个成本函数,粒子群算法通过在给定约束条件下改进每次迭代时成本函数的解来实现最大的能源效率。
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