Skip to main content

2020 | OriginalPaper | Buchkapitel

An Efficient Scheduling Algorithm for Sensor-Based IoT Networks

verfasst von : M. Deva Priya, T. Suganya, A. Christy Jeba Malar, E. Dhivyaprabha, Prajith Kesava Prasad, L. R. Vishnu Vardhan

Erschienen in: Inventive Communication and Computational Technologies

Verlag: Springer Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Internet of Things (IoT) based networks with sensors are energy and delay stringent. Efficient scheduling algorithms for IoT-based networks are the need of the hour. Nodes with selfish behavior degrade the performance of the network. Hence, a scheduling algorithm that schedules packets based on their emergencies and priorities yields better results. In this paper, M/M/1 and M/M/N scheduling scheme to schedule Emergency packets (E-packets) and Regular packets (R-packets) is proposed. The next-hop nodes are chosen based on the trust value of nodes. It is seen that the proposed scheme yields better results in terms of Packet Delivery Ratio (PDR), end-to-end delay, throughput and routing overhead.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Chen H, Jia X, Li H (2011) A brief introduction to IoT gateway. In: Proceedings of the IET International Conference on Communication Technology and Application, ICCTA, pp 610–613 Chen H, Jia X, Li H (2011) A brief introduction to IoT gateway. In: Proceedings of the IET International Conference on Communication Technology and Application, ICCTA, pp 610–613
2.
Zurück zum Zitat Ian I, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Comput Netw 38(4):393–422 Ian I, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Comput Netw 38(4):393–422
3.
Zurück zum Zitat Abbasi AA, Younis M (2011) A survey on clustering algorithms for wireless sensor networks. Comput Commun 30(14–15):2826–2841 Abbasi AA, Younis M (2011) A survey on clustering algorithms for wireless sensor networks. Comput Commun 30(14–15):2826–2841
4.
Zurück zum Zitat Boyinbode O, Le H, Takizawa M (2011) A survey on clustering algorithms for wireless sensor networks. Int J Sp-Based Situat Comput 1(2–3):130–136CrossRef Boyinbode O, Le H, Takizawa M (2011) A survey on clustering algorithms for wireless sensor networks. Int J Sp-Based Situat Comput 1(2–3):130–136CrossRef
5.
Zurück zum Zitat Das SK, Saha BJ, Chatterjee PS (2014) Selfish node detection and its behavior in WSN. In: Proceedings of the IEEE International Conference on Computing Communication and Networking Technologies, ICCCNT, pp 1–6 Das SK, Saha BJ, Chatterjee PS (2014) Selfish node detection and its behavior in WSN. In: Proceedings of the IEEE International Conference on Computing Communication and Networking Technologies, ICCCNT, pp 1–6
6.
Zurück zum Zitat Tassiulas L, Ephremides A (1992) Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks. IEEE Trans Autom Control 37(12):1936–1948MathSciNetCrossRef Tassiulas L, Ephremides A (1992) Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks. IEEE Trans Autom Control 37(12):1936–1948MathSciNetCrossRef
7.
Zurück zum Zitat Neely MJ, Modiano E, Rohrs CE (2005) Dynamic power allocation and routing for time-varying wireless networks. IEEE J Sel Areas Commun 23(1):89–103CrossRef Neely MJ, Modiano E, Rohrs CE (2005) Dynamic power allocation and routing for time-varying wireless networks. IEEE J Sel Areas Commun 23(1):89–103CrossRef
8.
Zurück zum Zitat Andrews M, Kumaran K, Ramanan K, Stolyar A, Vijayakumar R, Whiting P (2000) CDMA data QoS scheduling on the forward link with variable channel conditions. Bell Lab Tech Memo 4:1–45 Andrews M, Kumaran K, Ramanan K, Stolyar A, Vijayakumar R, Whiting P (2000) CDMA data QoS scheduling on the forward link with variable channel conditions. Bell Lab Tech Memo 4:1–45
9.
Zurück zum Zitat Moeller S, Sridharan A, Krishnamachari B, Gnawali O (2010) Routing without routes: the backpressure collection protocol. In: Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Network, pp 279–290 Moeller S, Sridharan A, Krishnamachari B, Gnawali O (2010) Routing without routes: the backpressure collection protocol. In: Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Network, pp 279–290
10.
Zurück zum Zitat Liu L, Jiang J, Shu L, Hancke G (2017) Analysis of energy-efficient connected target coverage algorithms for industrial wireless sensor networks. IEEE Trans Industr Inf 13(1):135–143CrossRef Liu L, Jiang J, Shu L, Hancke G (2017) Analysis of energy-efficient connected target coverage algorithms for industrial wireless sensor networks. IEEE Trans Industr Inf 13(1):135–143CrossRef
11.
Zurück zum Zitat Majidi A, Mirvaziri H (2014) BDCC: backpressure routing and dynamic prioritization for congestion control in WMSNs. Int J Comput Netw Inf Secur 6(5):29 Majidi A, Mirvaziri H (2014) BDCC: backpressure routing and dynamic prioritization for congestion control in WMSNs. Int J Comput Netw Inf Secur 6(5):29
12.
Zurück zum Zitat Sridharan A, Moeller S, Krishnamachari B (2005) Investigating backpressure based rate control protocols for wireless sensor networks, vol 7. USC EE CENG technical report, CENG-2008 Sridharan A, Moeller S, Krishnamachari B (2005) Investigating backpressure based rate control protocols for wireless sensor networks, vol 7. USC EE CENG technical report, CENG-2008
13.
Zurück zum Zitat Neely MJ, Urgaonkar R (2009) Optimal backpressure routing for wireless networks with multi-receiver diversity. Ad Hoc Netw 7(5):862–881CrossRef Neely MJ, Urgaonkar R (2009) Optimal backpressure routing for wireless networks with multi-receiver diversity. Ad Hoc Netw 7(5):862–881CrossRef
14.
Zurück zum Zitat Dvir A, Vasilakos AV (2010) Backpressure-based routing protocol for DTNs. ACM SIGCOMM Comput Commun Rev 40(4):405–406CrossRef Dvir A, Vasilakos AV (2010) Backpressure-based routing protocol for DTNs. ACM SIGCOMM Comput Commun Rev 40(4):405–406CrossRef
15.
Zurück zum Zitat Ying L, Srikant R, Towsley D, Liu S (2011) Cluster-based back-pressure routing algorithm. IEEE/ACM Trans Netw (TON) 19(6):1773–1786CrossRef Ying L, Srikant R, Towsley D, Liu S (2011) Cluster-based back-pressure routing algorithm. IEEE/ACM Trans Netw (TON) 19(6):1773–1786CrossRef
16.
Zurück zum Zitat Alresaini M, Sathiamoorthy M, Krishnamachari B, Neely MJ (2012) Backpressure with adaptive redundancy. In: Proceedings of the IEEE International Conference on Backpressure with Adaptive Redundancy, pp 2300–2308 Alresaini M, Sathiamoorthy M, Krishnamachari B, Neely MJ (2012) Backpressure with adaptive redundancy. In: Proceedings of the IEEE International Conference on Backpressure with Adaptive Redundancy, pp 2300–2308
17.
Zurück zum Zitat Huang L, Moeller S, Neely MJ, Krishnamachari B (2013) LIFO-backpressure achieves near-optimal utility-delay tradeoff. IEEE/ACM Trans Netw 21(3):831–844 Huang L, Moeller S, Neely MJ, Krishnamachari B (2013) LIFO-backpressure achieves near-optimal utility-delay tradeoff. IEEE/ACM Trans Netw 21(3):831–844
18.
Zurück zum Zitat Ji B, Joo C, Shroff NB (2013) Delay-based back-pressure scheduling in multihop wireless networks. IEEE/ACM Trans Netw 21(5):1539–1552CrossRef Ji B, Joo C, Shroff NB (2013) Delay-based back-pressure scheduling in multihop wireless networks. IEEE/ACM Trans Netw 21(5):1539–1552CrossRef
19.
Zurück zum Zitat Hu B, Gharavi H (2014) Greedy backpressure routing for smart grid sensor networks. In: Proceeding of the 11th IEEE Consumer Communications and Networking Conference, pp 32–37 Hu B, Gharavi H (2014) Greedy backpressure routing for smart grid sensor networks. In: Proceeding of the 11th IEEE Consumer Communications and Networking Conference, pp 32–37
20.
Zurück zum Zitat Jiao Z, Yao Z, Zhang B, Li C (2014) A distributed gradient-assisted anycast-based backpressure framework for wireless sensor networks. In: Proceedings of the IEEE International Conference on Communications (ICC), pp 2809–2814 Jiao Z, Yao Z, Zhang B, Li C (2014) A distributed gradient-assisted anycast-based backpressure framework for wireless sensor networks. In: Proceedings of the IEEE International Conference on Communications (ICC), pp 2809–2814
21.
Zurück zum Zitat Jiao Z, Zhang B, Gong W, Mouftah H (2015) A virtual queue-based back-pressure scheduling algorithm for wireless sensor networks. EURASIP J Wirel Commun Netw 1(35) Jiao Z, Zhang B, Gong W, Mouftah H (2015) A virtual queue-based back-pressure scheduling algorithm for wireless sensor networks. EURASIP J Wirel Commun Netw 1(35)
22.
Zurück zum Zitat Venkataraman R, Moeller S, Krishnamachari B, Rao TR (2015) Trust–based backpressure routing in wireless sensor networks. Int J Sensor Netw 17(1):27–39CrossRef Venkataraman R, Moeller S, Krishnamachari B, Rao TR (2015) Trust–based backpressure routing in wireless sensor networks. Int J Sensor Netw 17(1):27–39CrossRef
23.
Zurück zum Zitat Zheng X, Cai Z, Li J, Gao H (2017) A study on application-aware scheduling in wireless networks. IEEE Trans Mob Comput 16(7):1787–1801CrossRef Zheng X, Cai Z, Li J, Gao H (2017) A study on application-aware scheduling in wireless networks. IEEE Trans Mob Comput 16(7):1787–1801CrossRef
24.
Zurück zum Zitat Qiu T, Qiao R, Wu DO (2018) EABS: an event-aware backpressure scheduling scheme for emergency Internet of Things. IEEE Trans Mob Comput 17(1):72–84CrossRef Qiu T, Qiao R, Wu DO (2018) EABS: an event-aware backpressure scheduling scheme for emergency Internet of Things. IEEE Trans Mob Comput 17(1):72–84CrossRef
Metadaten
Titel
An Efficient Scheduling Algorithm for Sensor-Based IoT Networks
verfasst von
M. Deva Priya
T. Suganya
A. Christy Jeba Malar
E. Dhivyaprabha
Prajith Kesava Prasad
L. R. Vishnu Vardhan
Copyright-Jahr
2020
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-0146-3_130