An Optimal Online Resource Allocation Algorithm for Energy Harvesting Body Area Networks

In Body Area Networks (BANs), how to achieve energy management to extend the lifetime of the body area networks system is one of the most critical problems. In this paper, we design a body area network system powered by renewable energy, in which the sensors carried by patient with energy harvesting...

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Vydáno v:	Algorithms Ročník 11; číslo 2; s. 14
Hlavní autoři:	Wu, Guangyuan, Chen, Zhigang, Guo, Lin, Wu, Jia
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.02.2018
Témata:	Algorithms Batteries Body area networks Computer simulation Energy consumption Energy harvesting Energy management Energy transmission Internet resources Lyapunov optimization online resource allocation algorithm Optimization Power management Queues Resource allocation Sensors
ISSN:	1999-4893, 1999-4893
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Abstract	In Body Area Networks (BANs), how to achieve energy management to extend the lifetime of the body area networks system is one of the most critical problems. In this paper, we design a body area network system powered by renewable energy, in which the sensors carried by patient with energy harvesting module can transmit data to a personal device. We do not require any a priori knowledge of the stochastic nature of energy harvesting and energy consumption. We formulate a user utility optimization problem. We use Lyapunov Optimization techniques to decompose the problem into three sub-problems, i.e., battery management, collecting rate control and transmission power allocation. We propose an online resource allocation algorithm to achieve two major goals: (1) balancing sensors’ energy harvesting and energy consumption while stabilizing the BANs system; and (2) maximizing the user utility. Performance analysis addresses required battery capacity, bounded data queue length and optimality of the proposed algorithm. Simulation results verify the optimization of algorithm.
AbstractList	In Body Area Networks (BANs), how to achieve energy management to extend the lifetime of the body area networks system is one of the most critical problems. In this paper, we design a body area network system powered by renewable energy, in which the sensors carried by patient with energy harvesting module can transmit data to a personal device. We do not require any a priori knowledge of the stochastic nature of energy harvesting and energy consumption. We formulate a user utility optimization problem. We use Lyapunov Optimization techniques to decompose the problem into three sub-problems, i.e., battery management, collecting rate control and transmission power allocation. We propose an online resource allocation algorithm to achieve two major goals: (1) balancing sensors’ energy harvesting and energy consumption while stabilizing the BANs system; and (2) maximizing the user utility. Performance analysis addresses required battery capacity, bounded data queue length and optimality of the proposed algorithm. Simulation results verify the optimization of algorithm.
Author	Wu, Jia Chen, Zhigang Wu, Guangyuan Guo, Lin
Author_xml	– sequence: 1 givenname: Guangyuan orcidid: 0000-0002-4241-1567 surname: Wu fullname: Wu, Guangyuan – sequence: 2 givenname: Zhigang surname: Chen fullname: Chen, Zhigang – sequence: 3 givenname: Lin surname: Guo fullname: Guo, Lin – sequence: 4 givenname: Jia orcidid: 0000-0001-9013-0818 surname: Wu fullname: Wu, Jia
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SubjectTerms	Algorithms Batteries Body area networks Computer simulation Energy consumption Energy harvesting Energy management Energy transmission Internet resources Lyapunov optimization online resource allocation algorithm Optimization Power management Queues Resource allocation Sensors
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