2016
DOI: 10.1002/ett.3123
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Sustaining the emergency wireless multihop infrastructure by distributed sharing of energy consumption

Abstract: Wireless multihop infrastructures (WMIs) facilitate low‐cost and quick deployable network infrastructures for emerging applications in emergency responses and smart cities. Cooperative sharing of energy consumption is essential for network sustainability. This paper studies the problem of cooperative sharing of routing services in an emergency WMI (E‐WMI) by examining the regulation of route switching from perspectives of network‐wide and long‐time energy efficiency. A key idea in the regulation of route switc… Show more

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Cited by 2 publications
(1 citation statement)
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References 22 publications
(67 reference statements)
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“…The offloading process in their work relies on Lyapunov dynamic decision algorithm through minimizing the intended utility function. In another attempt by Sun et al, 79 they assumed limited‐energy UE and work on optimizing task offloading in mobile edge‐based SDN through task placement and resource allocation. Other recent studies 34 adopted a machine learning approach to mitigate the limitation of battery‐limited mobile devices to optimize energy consumption in edge‐based wireless networks.…”
Section: Open Issuesmentioning
confidence: 99%
“…The offloading process in their work relies on Lyapunov dynamic decision algorithm through minimizing the intended utility function. In another attempt by Sun et al, 79 they assumed limited‐energy UE and work on optimizing task offloading in mobile edge‐based SDN through task placement and resource allocation. Other recent studies 34 adopted a machine learning approach to mitigate the limitation of battery‐limited mobile devices to optimize energy consumption in edge‐based wireless networks.…”
Section: Open Issuesmentioning
confidence: 99%