NDLI: On energy-balanced resource scheduling policy optimality for QoS assurance in multi-hop wireless multimedia networks : Wireless Multi-hop Energy Balancing

Content Provider	Springer Nature Link
Author	Xing, Lin Wang, Wei Lim, Sunho Gao, Feifei Hua, Kun
Copyright Year	2014
Abstract	Energy balancing is an essential issue for scenarios of multi-hop wireless networks powered by batteries, for example, in disaster relief applications. In this paper, we propose a new transmission scheduling policy to extend the lifetime of a linear chain topology based multi-hop wireless multimedia network by maximizing the energy-balancing between routers. Two error-control techniques, Forward Error Correction and Automatic Repeat reQuest (ARQ), are adaptively deployed by the proposed strategy to achieve the maximal energy-balancing with the minimal quality requirement constraint. By considering the energy-balancing and the lower bound of multimedia quality constraint, the optimal channel coding redundancy and the optimal ARQ data retransmission strategy are applied to multimedia packets when those packets pass through each router in data transmission. To reduce the computing complexity, we simplify the solution by grouping multimedia packets with similar quality contribution, separating the global quality requirement into multiple local quality requirements, and allocating the optimal local quality requirement to each multimedia packet group. The simulation results show the proposed approach can significantly improve energy-balancing and lifetime of the multi-hop wireless multimedia network in both linear chain topology and more complex topologies.
Starting Page	187
Ending Page	198
Page Count	12
File Format	PDF
ISSN	10184864
Journal	Telecommunication Systems
Volume Number	60
Issue Number	1
e-ISSN	15729451
Language	English
Publisher	Springer US
Publisher Date	2014-12-05
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Energy balancing Multi-hop wireless networks Channel coding IT in Business Computer Communication Networks Artificial Intelligence (incl. Robotics) Probability Theory and Stochastic Processes
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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