Utilizing Joint Routing and Capacity Assignment Algorithms to Achieve Inter- and Intra-Group Delay Fairness in Multi-Rate Multicast Wireless Sensor Networks

Recent advance in wireless sensor network (WSN) applications such as the Internet of Things (IoT) have attracted a lot of attention. Sensor nodes have to monitor and cooperatively pass their data, such as temperature, sound, pressure, etc. through the network under constrained physical or environmen...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 13; H. 3; S. 3588 - 3614
Hauptverfasser:	Lin, Frank, Hsiao, Chiu-Han, Lin, Leo, Wen, Yean-Fu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 01.03.2013 Molecular Diversity Preservation International (MDPI)
Schlagworte:	Algorithms Computer Communication Networks Computer networks Constraints Delay end-to-end fairness Environmental Monitoring Information communication Information management Information sharing Internet of Things Lagrangean Relaxation method Multicast Networks optimization Optimization techniques Pressure Protocol Quality of service Remote sensors Sensors Sound Temperature Wireless networks wireless sensor networks Wireless Technology Taiwan
ISSN:	1424-8220, 1424-8220
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Abstract	Recent advance in wireless sensor network (WSN) applications such as the Internet of Things (IoT) have attracted a lot of attention. Sensor nodes have to monitor and cooperatively pass their data, such as temperature, sound, pressure, etc. through the network under constrained physical or environmental conditions. The Quality of Service (QoS) is very sensitive to network delays. When resources are constrained and when the number of receivers increases rapidly, how the sensor network can provide good QoS (measured as end-to-end delay) becomes a very critical problem. In this paper; a solution to the wireless sensor network multicasting problem is proposed in which a mathematical model that provides services to accommodate delay fairness for each subscriber is constructed. Granting equal consideration to both network link capacity assignment and routing strategies for each multicast group guarantees the intra-group and inter-group delay fairness of end-to-end delay. Minimizing delay and achieving fairness is ultimately achieved through the Lagrangean Relaxation method and Subgradient Optimization Technique. Test results indicate that the new system runs with greater effectiveness and efficiency.
AbstractList	Recent advance in wireless sensor network (WSN) applications such as the Internet of Things (IoT) have attracted a lot of attention. Sensor nodes have to monitor and cooperatively pass their data, such as temperature, sound, pressure, etc. through the network under constrained physical or environmental conditions. The Quality of Service (QoS) is very sensitive to network delays. When resources are constrained and when the number of receivers increases rapidly, how the sensor network can provide good QoS (measured as end-to-end delay) becomes a very critical problem. In this paper; a solution to the wireless sensor network multicasting problem is proposed in which a mathematical model that provides services to accommodate delay fairness for each subscriber is constructed. Granting equal consideration to both network link capacity assignment and routing strategies for each multicast group guarantees the intra-group and inter-group delay fairness of end-to-end delay. Minimizing delay and achieving fairness is ultimately achieved through the Lagrangean Relaxation method and Subgradient Optimization Technique. Test results indicate that the new system runs with greater effectiveness and efficiency. Recent advance in wireless sensor network (WSN) applications such as the Internet of Things (IoT) have attracted a lot of attention. Sensor nodes have to monitor and cooperatively pass their data, such as temperature, sound, pressure, etc. through the network under constrained physical or environmental conditions. The Quality of Service (QoS) is very sensitive to network delays. When resources are constrained and when the number of receivers increases rapidly, how the sensor network can provide good QoS (measured as end-to-end delay) becomes a very critical problem. In this paper; a solution to the wireless sensor network multicasting problem is proposed in which a mathematical model that provides services to accommodate delay fairness for each subscriber is constructed. Granting equal consideration to both network link capacity assignment and routing strategies for each multicast group guarantees the intra-group and inter-group delay fairness of end-to-end delay. Minimizing delay and achieving fairness is ultimately achieved through the Lagrangean Relaxation method and Subgradient Optimization Technique. Test results indicate that the new system runs with greater effectiveness and efficiency.Recent advance in wireless sensor network (WSN) applications such as the Internet of Things (IoT) have attracted a lot of attention. Sensor nodes have to monitor and cooperatively pass their data, such as temperature, sound, pressure, etc. through the network under constrained physical or environmental conditions. The Quality of Service (QoS) is very sensitive to network delays. When resources are constrained and when the number of receivers increases rapidly, how the sensor network can provide good QoS (measured as end-to-end delay) becomes a very critical problem. In this paper; a solution to the wireless sensor network multicasting problem is proposed in which a mathematical model that provides services to accommodate delay fairness for each subscriber is constructed. Granting equal consideration to both network link capacity assignment and routing strategies for each multicast group guarantees the intra-group and inter-group delay fairness of end-to-end delay. Minimizing delay and achieving fairness is ultimately achieved through the Lagrangean Relaxation method and Subgradient Optimization Technique. Test results indicate that the new system runs with greater effectiveness and efficiency. Recent advance in wireless sensor network (WSN) applications such as the Internet of Things (loT) have attracted a lot of attention. Sensor nodes have to monitor and cooperatively pass their data, such as temperature, sound, pressure, etc. through the network under constrained physical or environmental conditions. The Quality of Service (QoS) is very sensitive to network delays. When resources are constrained and when the number of receivers increases rapidly, how the sensor network can provide good QoS (measured as end-to-end delay) becomes a very critical problem. In this paper; a solution to the wireless sensor network multicasting problem is proposed in which a mathematical model that provides services to accommodate delay fairness lor each subscriber is constructed. Granting equal consideration to both network link capacity assignment and routing strategies lor each multicast group guarantees the intra-group and inter-group delay fairness of end-to-end delay Minimizing delay and achieving fairness is ultimately achieved through the Lagrangean Relaxation method and Subgradient Optimization Technique. Test results indicate that the new system runs with greater effectiveness and efficiency.
Author	Lin, Frank Wen, Yean-Fu Lin, Leo Hsiao, Chiu-Han
AuthorAffiliation	1 Department of Information Management, National Taiwan University, No. 1 Sec. 4, Roosevelt Rd., Taipei City 106, Taiwan; E-Mails: yslin@im.ntu.edu.tw (F.Y.S.L.); d98725001@ntu.edu.tw (L.S.C.L.) 2 Graduate Institute of Information Management, National Taipei University, No. 151, University Rd., San Shia District, New Taipei City 23741, Taiwan; E-Mail: yeanfu@mail.ntpu.edu.tw
AuthorAffiliation_xml	– name: 2 Graduate Institute of Information Management, National Taipei University, No. 151, University Rd., San Shia District, New Taipei City 23741, Taiwan; E-Mail: yeanfu@mail.ntpu.edu.tw – name: 1 Department of Information Management, National Taiwan University, No. 1 Sec. 4, Roosevelt Rd., Taipei City 106, Taiwan; E-Mails: yslin@im.ntu.edu.tw (F.Y.S.L.); d98725001@ntu.edu.tw (L.S.C.L.)
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BackLink	https://www.ncbi.nlm.nih.gov/pubmed/23493123$$D View this record in MEDLINE/PubMed
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SubjectTerms	Algorithms Computer Communication Networks Computer networks Constraints Delay end-to-end fairness Environmental Monitoring Information communication Information management Information sharing Internet of Things Lagrangean Relaxation method Multicast Networks optimization Optimization techniques Pressure Protocol Quality of service Remote sensors Sensors Sound Temperature Wireless networks wireless sensor networks Wireless Technology
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Title	Utilizing Joint Routing and Capacity Assignment Algorithms to Achieve Inter- and Intra-Group Delay Fairness in Multi-Rate Multicast Wireless Sensor Networks
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