Link Schedulers for Green Wireless Networks with Energy Sharing
Abstract : This paper considers wireless link scheduling in a new setting: nodes with Energy Harvesting (EH) as well as energy sharing capabilities. We propose a Mixed Integer Linear Program (MILP) to determine 1) the shortest link schedule, whereby active links in the same slot adhere to the physical interference model; 2) the optimal transmission power of active links; and 3) the amount of energy shared by nodes in each slot. We also outline a novel heuristic algorithm to generate a link schedule for large-scale networks. In addition, we outline a distributed protocol that is used by nodes to independently determine whether to share energy and/or transmit data in each slot. Our results show that 1) energy sharing reduces schedule lengths by about 20% and 2) our distributed algorithm generates schedule lengths that are approximately 65% shorter as compared to a protocol that requires nodes to decide randomly whether to transmit data or/and share energy.
? It is a procedure that is achieving additional heights into the existing drift.
? These technologies are diverse in nature and coexist in the same environment to provide ubiquitous network coverage.
? In this paper, we have provided a survey of different tradeoff techniques that exist for energy-efficient wireless communication.
? EE objective of one particular RAT can have detrimental effects on the other co-existing RATs within the same radio and geographical environment.
? Several researchers have pointed out that the design of energy saving mechanisms are comparatively easier for homogeneous environment than heterogeneous environment.
? This paper studies the harvested energy-saving link scheduling problem in the energy harvesting WMNs under the imperfect storage efficiency.
? We introduce a novel link scheduling problem called the harvested energy-saving link scheduling problem to reduce energy waste.
? This paper proposes a new problem, called the harvested energy-saving link scheduling problem and proves its NP-hardness.
? This paper introduces a harvested energy-saving link scheduling problem with the non-ideal battery in the energy harvesting WMNs to reduce energy waste caused by low battery storage efficiency.
• In this article, we present the survey of different EE tradeoff techniques, proposed in the literature.
• This includes the measurement for each of the proposed techniques for reducing power consumption or enhancing energy efficiency.
• Energy Proportionality Index (EPI) has been proposed as a metric for equipments that evaluates EE of a device on the basis of its energy consumption at idle and maximum load.
• A number of metrics have been proposed for EE networks/systems to efficiently evaluate the effect of novel techniques towards achieving green communications systems.
• The work in proposed an energy-efficient cooperative relay selection scheme that utilizes the transmission power more efficiently in cooperative relaying systems.
? We also propose DA to activate links in the distributed networks and analyze the performance of the algorithms.
? Some algorithms are designed to balance energy consumption and network performance.
? In the energy harvesting WMNs with link scheduling, a few works take into account the impact of non-ideal battery on energy efficiency and network lifetime.
? When operating WMNs, a key concern is to manage the energy harvested by nodes to maximize the network efficiency
? The charging efficiency is determined by the energy conserved by supercapacitors and transmitted by the charging circuit, so the supercapacitors also have imperfect charging efficiency.
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