Energy minimization and lifetime enhancement in Cognitive Radio Sensor Networks via relaying under interference constraints

Amr Y. Elnakeeb, H. Elsayed, M. Khairy
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引用次数: 2

Abstract

This paper considers Cognitive Radio Sensor Networks (CRSN). The aim of this paper is twofold: First, we analyze the problem of total energy minimization in CRSN by choosing the best relay for each cognitive sensor node in the network. A node either sends its data packet directly to the Base Station (BS) or forwards to another node; and the latter, in turn, sends both packets to the BS. The proposed optimization problem is a multiple choice knapsack optimization problem that chooses the best path for each node targeting minimizing the total energy consumption in the network under interference constraints and with the aim of satisfying a specific Bit Error Rate (BER) for the CR system. The second aim of the paper targets increasing the lifetime in CRSN. This target is important in several applications as considering energy minimization only affects the network lifetime. Consequently, another knapsack optimization problem has been formulated and solved to choose the best scenario for each node, either by sending directly to the BS or by relaying via another node, with the aim of enhancing network lifetime under interference constraints and BER requirement for the CR system.
干扰约束下中继的认知无线电传感器网络能量最小化和寿命增强
本文研究认知无线电传感器网络(CRSN)。本文的目的有两个:首先,我们通过为网络中的每个认知传感器节点选择最佳中继来分析CRSN中总能量最小化的问题;一个节点将其数据包直接发送到基站(BS)或转发到另一个节点;后者依次将两个数据包发送到BS。提出的优化问题是一个多选择背包优化问题,在干扰约束下,以网络总能量消耗最小为目标,以满足CR系统特定的误码率为目标,为每个节点选择最佳路径。本文的第二个目标是提高CRSN的寿命。这个目标在一些应用中很重要,因为考虑能量最小化只会影响网络生命周期。因此,本文提出并解决了另一个背包优化问题,即为每个节点选择最佳场景,通过直接发送到基站或通过另一个节点中继,以提高CR系统在干扰约束和BER要求下的网络生存时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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