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Artificial bee colony optimization based energy-efficient wireless network interface selection for industrial mobile devices.

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Title: Artificial bee colony optimization based energy-efficient wireless network interface selection for industrial mobile devices.
Authors: ArunKumar, S.1 (AUTHOR) sarunkumar.phd@gmail.com, Kumar, B. Vinoth2 (AUTHOR) bojanvinoth@gmail.com, Pandi, M.3 (AUTHOR) mpandi123@gmail.com
Source: Computer Communications. Mar2020, Vol. 154, p1-10. 10p.
Subjects: Network interface devices, Energy consumption, Markov processes, Quality of service, Energy policy
Abstract: Management of energy is a crucial challenge for mobile devices, having the network activity frequently taking up a considerable part of the energy in the overall system. The important goal of this work is to offer energy efficiency for mobile handhelds. The industrial mobile devices in the recent times are fitted with several wireless network interfaces, these devices function with less battery power. In mobile handhelds, each user is able to run multiple applications with the purpose of have particular Quality of Service (QoS) requirements. Hence, it would be beneficial for a multi-interface terminal to simultaneously use two or more interfaces to gain in performance. So satisfying the QoS becomes very difficult task. An energy-effective Adaptive Wireless Network Interface Selection (AWNIS) with Artificial Bee Colony (ABC) is proposed in this paper. AWNIS-ABC algorithm chooses the best of the wireless network interface in regard to the energy consumed by taking the QoS of the link into consideration as well as following a hi-speed network interface-selection interval based on the scenario in the network. Then Hidden Semi Markov Model (HSMM) is introduced for searching the detouring paths if the energy state of a given relay node is very less to utilize the required interface, which ensures timely delivery. Also, it provides the diversification of the route paths in the network with the purpose of extending the lifetime of the network. An alternate path is proposed for reliable data delivery beforehand the route path encounters a breakage owing to energy exhaustion is found. A number of wireless network interfaces in mobile devices are utilized in improving the energy efficiency, satisfaction of QoS occurring during data transfer. The simulation of the network is implemented via the Network Simulator 2(NS2). [ABSTRACT FROM AUTHOR]
Copyright of Computer Communications is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 142392663
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Artificial bee colony optimization based energy-efficient wireless network interface selection for industrial mobile devices.
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  Data: <searchLink fieldCode="AR" term="%22ArunKumar%2C+S%2E%22">ArunKumar, S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sarunkumar.phd@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kumar%2C+B%2E+Vinoth%22">Kumar, B. Vinoth</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> bojanvinoth@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Pandi%2C+M%2E%22">Pandi, M.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> mpandi123@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Computer+Communications%22">Computer Communications</searchLink>. Mar2020, Vol. 154, p1-10. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Network+interface+devices%22">Network interface devices</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Markov+processes%22">Markov processes</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+of+service%22">Quality of service</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+policy%22">Energy policy</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Management of energy is a crucial challenge for mobile devices, having the network activity frequently taking up a considerable part of the energy in the overall system. The important goal of this work is to offer energy efficiency for mobile handhelds. The industrial mobile devices in the recent times are fitted with several wireless network interfaces, these devices function with less battery power. In mobile handhelds, each user is able to run multiple applications with the purpose of have particular Quality of Service (QoS) requirements. Hence, it would be beneficial for a multi-interface terminal to simultaneously use two or more interfaces to gain in performance. So satisfying the QoS becomes very difficult task. An energy-effective Adaptive Wireless Network Interface Selection (AWNIS) with Artificial Bee Colony (ABC) is proposed in this paper. AWNIS-ABC algorithm chooses the best of the wireless network interface in regard to the energy consumed by taking the QoS of the link into consideration as well as following a hi-speed network interface-selection interval based on the scenario in the network. Then Hidden Semi Markov Model (HSMM) is introduced for searching the detouring paths if the energy state of a given relay node is very less to utilize the required interface, which ensures timely delivery. Also, it provides the diversification of the route paths in the network with the purpose of extending the lifetime of the network. An alternate path is proposed for reliable data delivery beforehand the route path encounters a breakage owing to energy exhaustion is found. A number of wireless network interfaces in mobile devices are utilized in improving the energy efficiency, satisfaction of QoS occurring during data transfer. The simulation of the network is implemented via the Network Simulator 2(NS2). [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Computer Communications is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.comcom.2020.01.067
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      – Code: eng
        Text: English
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        PageCount: 10
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      – SubjectFull: Network interface devices
        Type: general
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Markov processes
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      – SubjectFull: Quality of service
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      – SubjectFull: Energy policy
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            NameFull: Kumar, B. Vinoth
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              Text: Mar2020
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