Pando: Fountain-Enabled Fast Data Dissemination With Constructive Interference

Du, Wan; Liando, Jansen Christian; Zhang, Huanle; Li, Mo

doi:10.1109/tnet.2016.2614707

Cited by 27 publications

(31 citation statements)

References 43 publications

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“…However, the DP solutions are computationally expensive, and they require large memory space to store the solutions, which is usually prohibitive for resource-constrained IoT devices. Moreover, calculating and disseminating the optimal look up tables in a network consisting of large number of WPDs is inherently challenging and introduces large overheads [31]. Finally, the complexity of the numerical solutions increase exponentially with respect to the number of states in the DP formulation.…”

Section: Related Workmentioning

confidence: 99%

Optimal Finite Horizon Sensing for Wirelessly Powered Devices

Abad

Erçetin

2019

IEEE Access

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We are witnessing a significant advancements in the sensor technologies which has enabled a broad spectrum of applications. Often, the resolution of the produced data by the sensors significantly affects the output quality of an application. We study a sensing resolution optimization problem for a wireless powered device (WPD) that is powered by wireless power transfer (WPT) from an access point (AP). We study a class of harvest-first-transmit-later type of WPT policy, where an access point (AP) first employs RF power to recharge the WPD in the down-link, and then, collects the data from the WPD in the up-link. The WPD optimizes the sensing resolution, WPT duration and dynamic power control in the up-link to maximize an application dependant utility at the AP. The utility of a transmitted packet is only achieved if the data is delivered successfully within a finite time. Thus, we first study a finite horizon throughput maximization problem by jointly optimizing the WPT duration and power control. We prove that the optimal WPT duration obeys a time-dependent threshold form depending on the energy state of the WPD. In the subsequent data transmission stage, the optimal transmit power allocations for the WPD is shown to posses a channel-dependent fractional structure. Then, we optimize the sensing resolution of the WPD by using a Bayesian inference based multi armed bandit problem with fast convergence property to strike a balance between the quality of the sensed data and the probability of successfully delivering it. INDEX TERMS Bayesian inference, multi-armed bandit, reinforcement learning, wireless power transfer. I. INTRODUCTION A. MOTIVATION MEHDI SALEHI HEYDAR ABAD received the B.S. degree in electrical engineering from IUST, Tehran, Iran, in 2012, and the M.S. degree in electrical and electronics engineering from Sabanci University, Istanbul, Turkey, in 2015, where he is currently pursuing the Ph.D. degree. He was a Visiting Researcher with The Ohio State University, Columbus, OH, USA. His research interests include mathematical modeling of communication systems, stochastic optimization, and green communication networks. He was a recipient of the Best Paper Award at the 2016 IEEE Wireless Communications and Networking Conference (WCNC).

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Section: Related Workmentioning

confidence: 99%

Optimal Finite Horizon Sensing for Wirelessly Powered Devices

Abad

Erçetin

2019

IEEE Access

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“…As we have introduced in Section 2 , many works do not follow the shortest path. For example, the work [ 10 ] uses constructive interference and the resulting propagation path is most likely to be different with the shortest path. Li et al [ 90 ] present a model that considers link characteristics in the dissemination process.…”

Section: Open Issuesmentioning

confidence: 99%

“…Most of the recent works on bulk data dissemination have been devoted to meet the above requirements [ 8 , 9 , 10 , 11 , 12 ]. We categorize the literature according to the optimization goals: (1) Works for optimizing reliability; (2) works for optimizing scalability.…”

Section: Introductionmentioning

confidence: 99%

Bulk Data Dissemination in Low Power Sensor Networks: Present and Future Directions

Song

2017

Sensors

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Wireless sensor network-based (WSN-based) applications need an efficient and reliable data dissemination service to facilitate maintenance, management and data distribution tasks. As WSNs nowadays are becoming pervasive and data intensive, bulk data dissemination protocols have been extensively studied recently. This paper provides a comprehensive survey of the state-of-the-art bulk data dissemination protocols. The large number of papers available in the literature propose various techniques to optimize the dissemination protocols. Different from the existing survey works which separately explores the building blocks of dissemination, our work categorizes the literature according to the optimization purposes: Reliability, Scalability and Transmission/Energy efficiency. By summarizing and reviewing the key insights and techniques, we further discuss on the future directions for each category. Our survey helps unveil three key findings for future direction: (1) The recent advances in wireless communications (e.g., study on cross-technology interference, error estimating codes, constructive interference, capture effect) can be potentially exploited to support further optimization on the reliability and energy efficiency of dissemination protocols; (2) Dissemination in multi-channel, multi-task and opportunistic networks requires more efforts to fully exploit the spatial-temporal network resources to enhance the data propagation; (3) Since many designs incur changes on MAC layer protocols, the co-existence of dissemination with other network protocols is another problem left to be addressed.

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“…However, the solution of DP is usually computationally expensive, and requires a large memory space to store, which may be prohibitive for resource-constrained EHDs. Moreover, calculating and disseminating the optimal look-up table in a network with large number of EHDs is inherently challenging and it introduces a large overhead [8]. Hence, unlike previous works, we obtain the structure of the optimal policy and show that the optimal duration of EH period has a timevarying threshold structure.…”

Section: Introductionmentioning

confidence: 96%

Finite Horizon Throughput Maximization for a Wirelessly Powered Device Over a Time Varying Channel

Abad

Erçetin

2018

2018 IEEE Globecom Workshops (GC Wkshps)

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In this work, we consider an energy harvesting device (EHD) served by an access point with a single antenna that is used for both wireless power transfer (WPT) and data transfer. The objective is to maximize the expected throughput of the EHD over a finite horizon when the channel state information is only available causally. The EHD is energized by WPT for a certain duration, which is subject to optimization, and then, EHD transmits its information bits to the AP until the end of the time horizon by employing optimal dynamic power allocation. The joint optimization problem is modeled as a dynamic programming problem. Based on the characteristic of the problem, we prove that a time dependent threshold type structure exists for the optimal WPT duration, and we obtain closed form solution to the dynamic power allocation in the uplink period.Index Terms-dynamic programming, wireless power transfer.

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Pando: Fountain-Enabled Fast Data Dissemination With Constructive Interference

Cited by 27 publications

References 43 publications

Optimal Finite Horizon Sensing for Wirelessly Powered Devices

Optimal Finite Horizon Sensing for Wirelessly Powered Devices

Bulk Data Dissemination in Low Power Sensor Networks: Present and Future Directions

Finite Horizon Throughput Maximization for a Wirelessly Powered Device Over a Time Varying Channel

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