NDLI: Semi-myopic algorithm for resource allocation in wireless body area networks

Content Provider	IET Digital Library
Author	Farshbafan, Mohammad Karimzadeh Ashtiani, Farid
Abstract	The key features of wireless body area networks are limited energy resources of the sensor nodes and the need for highly reliable packet transmission. Therefore, designing a suitable algorithm that schedules transmission of the nodes is very important. Although an optimal algorithm has been previously reported based on a partially observable Markov decision process (POMDP), its complexity is high. In this study, the authors propose a suboptimal algorithm for scheduling the transmissions, i.e. a semi-myopic algorithm, with a performance close to the optimal, albeit with much lower complexity. To this end, they modify the structure of the cost function of the optimal algorithm such that the scheduling decision at each superframe is made regarding its effect on only a few upcoming superframes. The authors' proposed algorithm is considered in two different incoming packet scenarios, deterministic and random arrivals. Simulation results show that for both types of arrivals, there is a negligible difference between their proposed algorithm and the optimal one, i.e. POMDP, in terms of energy consumption and reliability.
Starting Page	26
Ending Page	35
Page Count	10
ISSN	20436386
Volume Number	8
e-ISSN	20436394
Issue Number	Issue 1, Feb (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-wss/8/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-wss.2017.0063
Journal	IET Wireless Sensor Systems
Publisher Date	2017-09-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Body Area Network Computational Complexity Computational Complexity Reduction Energy Consumption Highly Reliable Packet Transmission Limited Energy ReSource Markov Processes Partially Observable Markov Decision Process POMDP Probability Theory Radio Link And Equipment Resource Allocation Semi-MYOPIC Algorithm Sensor Node Statistics Stochastic Linearised SCUC Telecommunication Power Management Telecommunication Scheduling Transmission Scheduling Wireless Body Area Network
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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