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Open AccessArticle

On Maximizing the Throughput of Packet Transmission under Energy Constraints

by Weiwei Wu 1,*, Guangli Dai 2,*, Yan Li 3 and Feng Shan 1
School of Computer Science and Engineering, Southeast University, Nanjing 211189, Jiangsu, China
Department of Computer Science, University of Houston, Houston, TX 77204, USA
School of Information and Engineering, Nanjing University of Finance and Economics, Nanjing 210046, Jiangsu, China
Authors to whom correspondence should be addressed.
Sensors 2018, 18(7), 2018;
Received: 3 May 2018 / Revised: 16 June 2018 / Accepted: 18 June 2018 / Published: 23 June 2018
(This article belongs to the Special Issue Green Communications and Networking for IoT)
More and more Internet of Things (IoT) wireless devices have been providing ubiquitous services over the recent years. Since most of these devices are powered by batteries, a fundamental trade-off to be addressed is the depleted energy and the achieved data throughput in wireless data transmission. By exploiting the rate-adaptive capacities of wireless devices, most existing works on energy-efficient data transmission try to design rate-adaptive transmission policies to maximize the amount of transmitted data bits under the energy constraints of devices. Such solutions, however, cannot apply to scenarios where data packets have respective deadlines and only integrally transmitted data packets contribute. Thus, this paper introduces a notion of weighted throughput, which measures how much total value of data packets are successfully and integrally transmitted before their own deadlines. By designing efficient rate-adaptive transmission policies, this paper aims to make the best use of the energy and maximize the weighted throughput. What is more challenging but with practical significance, we consider the fading effect of wireless channels in both offline and online scenarios. In the offline scenario, we develop an optimal algorithm that computes the optimal solution in pseudo-polynomial time, which is the best possible solution as the problem undertaken is NP-hard. In the online scenario, we propose an efficient heuristic algorithm based on optimal properties derived for the optimal offline solution. Simulation results validate the efficiency of the proposed algorithm. View Full-Text
Keywords: energy-efficiency; rate schedule; throughput maximization; data packets; wireless data transmission; algorithm design energy-efficiency; rate schedule; throughput maximization; data packets; wireless data transmission; algorithm design
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Wu, W.; Dai, G.; Li, Y.; Shan, F. On Maximizing the Throughput of Packet Transmission under Energy Constraints. Sensors 2018, 18, 2018.

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