Optimum Policies for an Energy Harvesting Transmitter Under Energy Storage Losses

Tutuncuoglu, Kaya; Yener, Aylin; Ulukuş, Şennur

doi:10.1109/jsac.2015.2391511

Cited by 106 publications

(108 citation statements)

References 61 publications

(155 reference statements)

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“…For example, nodes with low residual energy may be assigned higher sleep periods and lower transmission ranges, while those with high residual energy may be preferred when selecting a routing path. Another open perspective is the development of protocols that consider the degradation of the battery over time (leakage, storage loss) [110] which will influence network performance.…”

Section: Chargingmentioning

confidence: 99%

Energy efficiency in wireless sensor networks: A top-down survey

Rault¹,

Bouabdallah²,

Challal³

2014

Computer Networks

804

452

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The design of sustainable wireless sensor networks (WSNs) is a very challenging issue. On the one hand, energyconstrained sensors are expected to run autonomously for long periods. However, it may be cost-prohibitive to replace exhausted batteries or even impossible in hostile environments. On the other hand, unlike other networks, WSNs are designed for specific applications which range from small-size healthcare surveillance systems to large-scale environmental monitoring. Thus, any WSN deployment has to satisfy a set of requirements that differs from one application to another. In this context, a host of research work has been conducted in order to propose a wide range of solutions to the energysaving problem. This research covers several areas going from physical layer optimization to network layer solutions. Therefore, it is not easy for the WSN designer to select the efficient solutions that should be considered in the design of application-specific WSN architecture.We present a top-down survey of the trade-offs between application requirements and lifetime extension that arise when designing wireless sensor networks. We first identify the main categories of applications and their specific requirements. Then we present a new classification of energy-conservation schemes found in the recent literature, followed by a systematic discussion as to how these schemes conflict with the specific requirements. Finally, we survey the techniques applied in WSNs to achieve trade-off between multiple requirements, such as multi-objective optimisation.

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Section: Chargingmentioning

confidence: 99%

Energy efficiency in wireless sensor networks: A top-down survey

Rault¹,

Bouabdallah²,

Challal³

2014

Computer Networks

804

452

View full text Add to dashboard Cite

show abstract

“…Within the past few years, a large body of research works on power management has been done [12][13][14][15][16][17][18][19] in EH wireless communication systems including single-user setting, broadcast channels, relay channels, interference channels, and multiple access channels.…”

Section: Introductionmentioning

confidence: 99%

“…However, the above works with EH capability [12][13][14][15][16][17][18][19] assume that EH is the only source of energy for the transmitter, the proposed schemes just apply to the communication system with low traffic demands. As a matter of fact, the productions of renewable energy, strongly influenced by weather conditions, are intermittent and cannot be forecasted accurately [6].…”

Section: Introductionmentioning

confidence: 99%

Dynamic power allocation for a multiuser transmitter with hybrid energy sources

Liu

Lin

Wang

et al. 2017

J Wireless Com Network

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In this paper, we investigate the problem of dynamic power allocation for a multiuser transmitter supplied by hybrid energy sources in details. Specifically, we focus on the hybrid energy sources which include both the traditional power grid and various renewable sources whereby there are a few issues in considerations: (1) The energy harvested jointly from various renewable sources is time-varying and possibly unpredictable and is stored in a limited capacity buffer with battery leakage. (2) At the meantime, the data arrives randomly to the transmitter and queues according to the individual receivers to wait to be transmitted. (3) In addition, the wireless channels fluctuate randomly due to fading. Taking into account the time variant and dynamic features of this system, we develop a dynamic power allocation algorithm for the transmitter with the aim of minimizing the average amount of energy consumption from the power grid over an infinite horizon, subject to all data in queues cannot exceed a given deadline of receivers. The research question is formulated as a stochastic optimization problem, then we utilize Lyapunov optimization to exploit an online algorithm with low complexity, and it does not require prior statistical knowledge of the stochastic processes. Performance analysis of the proposed algorithm is carried out in theory, which shows that the proposed algorithm performs arbitrarily close to the optimal objective value; meanwhile, the algorithm ensures that the maximum delay of all data queues cannot exceed a given value. Finally, performance comparison shows that our proposed algorithm provides not only better performance but also less time delay than other two algorithms.

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“…In [5]- [10] the problem is extended to fading, broadcast, multiple access and interference channels. Throughput maximization problem with battery imperfections is considered in [11], [12] and processing costs are incorporated in [13], [14]. Of particular relevance are [15]- [19], where two-hop communication is considered with energy harvesting nodes for half-or full-duplex relay settings.…”

Section: Introductionmentioning

confidence: 99%

Energy harvesting cooperative diamond channel

Gurakan

Ulukuş

2015

2015 IEEE International Symposium on Information Theory (ISIT)

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Abstract-We consider the energy harvesting diamond channel, where the source and two relays harvest energy from nature. The physical layer is modeled as a concatenation of a broadcast and a multiple access channel. We find the optimal offline transmit power and rate allocations that maximize the end-toend throughput. First, we show that there exists an optimal source power allocation which is equal to the single-user optimal power allocation for the source energy arrivals and does not depend on the relay energy arrivals. Second, we show that the fraction of the power spent on each broadcast link depends on the energy arrivals for the relays. Specifically, we show that the optimal source rate allocation can be found by solving an optimal broadcasting problem with slot-dependent user priorities and these priorities can change only at instants where one of the relay data buffers is empty. Finally, we decompose the problem into inner and outer optimization problems and solve the overall problem by iterating between the two.

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Optimum Policies for an Energy Harvesting Transmitter Under Energy Storage Losses

Cited by 106 publications

References 61 publications

Energy efficiency in wireless sensor networks: A top-down survey

Energy efficiency in wireless sensor networks: A top-down survey

Dynamic power allocation for a multiuser transmitter with hybrid energy sources

Energy harvesting cooperative diamond channel

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