Adaptive Sleep Efficient Hybrid Medium Access Control algorithm for next-generation wireless sensor networks.

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Title: Adaptive Sleep Efficient Hybrid Medium Access Control algorithm for next-generation wireless sensor networks.
Authors: Bakhsh, Sheikh1 stbakhsh@kau.edu.sa, AlGhamdi, Rayed2 raalghamdi8@kau.edu.sa, Altalhi, Abdulrahman2 ahaltalhi@kau.edu.sa, Tahir, Sabeen2 stsheikh@kau.edu.sa, Sheikh, Muhammad3 amanatd88@yahoo.com
Source: EURASIP Journal on Wireless Communications & Networking. 5/8/2017, Vol. 2017 Issue 1, p1-15. 15p.
Subjects: Wireless sensor network access control, Energy consumption, Algorithms, Network performance, Energy transfer
Abstract: The scheduling algorithm is a fundamental design problem to allocate resources amongst different entities in distributive wireless sensor networks (WSNs). These sensor nodes have limited power and non-replenishable energy resources. In WSNs, the duty cycling mechanism is commonly used to save energy due to idle listening. On the other hand, a fixed duty cycling mechanism increases transmission latency in WSNs. Therefore, in order to ensure the prolonged network-life of WSNs, the medium access control (MAC) protocol should be tackled in an efficient manner to improve energy efficiency by minimizing idle listening, maximizing sleep duration, and eliminating data collision. This paper proposes a practical Adaptive Sleep Efficient Hybrid Medium Access Control (AEH-MAC) algorithm in which the key idea is to dynamically adjust nodes' sleep time to improve the scheduling in WSNs. The AEH-MAC allows nodes to adjust sleep time dynamically according to the traffic load and coordinate wakeup time with neighbour nodes. A series of short taken packets are transmitted to wake the receiver, and a prediction field is introduced in the ACK packets (GRANT/RELEASE) to reduce the waiting time of the source node. In the proposed algorithm, each node maps a conflict-free time slot for itself up to two-hop neighbouring nodes. The simulation results show that the AEH-MAC algorithm achieves high performance in terms of runtime, number of rounds, energy consumption, and slot reservation. [ABSTRACT FROM AUTHOR]
Copyright of EURASIP Journal on Wireless Communications & Networking is the property of Springer Nature 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.)
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  Data: Adaptive Sleep Efficient Hybrid Medium Access Control algorithm for next-generation wireless sensor networks.
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  Data: <searchLink fieldCode="AR" term="%22Bakhsh%2C+Sheikh%22">Bakhsh, Sheikh</searchLink><relatesTo>1</relatesTo><i> stbakhsh@kau.edu.sa</i><br /><searchLink fieldCode="AR" term="%22AlGhamdi%2C+Rayed%22">AlGhamdi, Rayed</searchLink><relatesTo>2</relatesTo><i> raalghamdi8@kau.edu.sa</i><br /><searchLink fieldCode="AR" term="%22Altalhi%2C+Abdulrahman%22">Altalhi, Abdulrahman</searchLink><relatesTo>2</relatesTo><i> ahaltalhi@kau.edu.sa</i><br /><searchLink fieldCode="AR" term="%22Tahir%2C+Sabeen%22">Tahir, Sabeen</searchLink><relatesTo>2</relatesTo><i> stsheikh@kau.edu.sa</i><br /><searchLink fieldCode="AR" term="%22Sheikh%2C+Muhammad%22">Sheikh, Muhammad</searchLink><relatesTo>3</relatesTo><i> amanatd88@yahoo.com</i>
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  Data: <searchLink fieldCode="JN" term="%22EURASIP+Journal+on+Wireless+Communications+%26+Networking%22">EURASIP Journal on Wireless Communications & Networking</searchLink>. 5/8/2017, Vol. 2017 Issue 1, p1-15. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Wireless+sensor+network+access+control%22">Wireless sensor network access control</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Network+performance%22">Network performance</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+transfer%22">Energy transfer</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: The scheduling algorithm is a fundamental design problem to allocate resources amongst different entities in distributive wireless sensor networks (WSNs). These sensor nodes have limited power and non-replenishable energy resources. In WSNs, the duty cycling mechanism is commonly used to save energy due to idle listening. On the other hand, a fixed duty cycling mechanism increases transmission latency in WSNs. Therefore, in order to ensure the prolonged network-life of WSNs, the medium access control (MAC) protocol should be tackled in an efficient manner to improve energy efficiency by minimizing idle listening, maximizing sleep duration, and eliminating data collision. This paper proposes a practical Adaptive Sleep Efficient Hybrid Medium Access Control (AEH-MAC) algorithm in which the key idea is to dynamically adjust nodes' sleep time to improve the scheduling in WSNs. The AEH-MAC allows nodes to adjust sleep time dynamically according to the traffic load and coordinate wakeup time with neighbour nodes. A series of short taken packets are transmitted to wake the receiver, and a prediction field is introduced in the ACK packets (GRANT/RELEASE) to reduce the waiting time of the source node. In the proposed algorithm, each node maps a conflict-free time slot for itself up to two-hop neighbouring nodes. The simulation results show that the AEH-MAC algorithm achieves high performance in terms of runtime, number of rounds, energy consumption, and slot reservation. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of EURASIP Journal on Wireless Communications & Networking is the property of Springer Nature 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: 10.1186/s13638-017-0870-y
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        Text: English
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        Type: general
      – SubjectFull: Energy consumption
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      – SubjectFull: Algorithms
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      – SubjectFull: Network performance
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      – SubjectFull: Energy transfer
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      – TitleFull: Adaptive Sleep Efficient Hybrid Medium Access Control algorithm for next-generation wireless sensor networks.
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            NameFull: Bakhsh, Sheikh
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            NameFull: AlGhamdi, Rayed
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            NameFull: Altalhi, Abdulrahman
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            NameFull: Tahir, Sabeen
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            – D: 08
              M: 05
              Text: 5/8/2017
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