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, Volume 77, Issue 4, pp 4491–4508 | Cite as

QoS guarantee towards reliability and timeliness in industrial wireless sensor networks

  • Manish KumarEmail author
  • Rajeev Tripathi
  • Sudarshan Tiwari
Article
  • 211 Downloads

Abstract

Wireless Sensor Networks is a promising technology for industrial monitoring and process control. In industry the sensory measures should be delivered to control room in predefined deadline time. The reliable delivery of sensory measure degrades as the focus shift from wired domain to wireless domain. This happens due to unreliability of sensor node and communication link. Therefore, the adverse industrial environment condition posed great stress towards designing of an efficient and effective routing protocol that can ensure the quality of service by reliable and timeliness delivery of real-time data. This paper presents a new geographical routing protocol that works on the basis of two-hop neighbor information. This improves end-to-end packet delivery by minimizing the path setup and recovery latency to ensure the reliability and timeliness. It selects the reliable relay node by mapping packet deadline time to link velocity in such a way that the smaller deadline time packets follow the shorter path over the high speed, reliable links and larger deadline time packets follow path over energy efficient nodes. This process enhances the network life and maintains the shorter path for time critical data routing. This real-time data routing suffers when a forwarding node fails to access the potential relay node. Here, the transmission energy regulation mechanism support to accessing the potential relay node for improving the reliability and timeliness data delivery. The simulation results validate the claim that the proposed routing protocol achieves significant improvement in end-to-end deadline packet delivery ratio with the higher energy efficiency.

Keywords

Industrial wireless sensor networks QoS Real-time Reliability Routing protocol 

References

  1. 1.
    Akkaya K, Younis M (2003) An energy-aware QoS routing protocol for wireless sensor networks. In: Proceedings of 23rd international conference on distributed computing systems workshops 2003, pp 710–715Google Scholar
  2. 2.
    Akkaya K, Younis M (2005) A survey on routing protocols for wireless sensor networks. Int J Ad Hoc Netw 3(3):325–349CrossRefGoogle Scholar
  3. 3.
    Al-Rousana M, Kullaba D (2009) Real-time communications for wireless sensor networks: a two-tiered architecture. Tran Int J Distrib Sensor Netw 5(6):806–823CrossRefGoogle Scholar
  4. 4.
    Ammari HM, Das SK (2005) Trade-off between energy savings and source-to-sink delay in data dissemination for wireless sensor networks. In: Proceedings of ACM international symposium modeling, analysis and simulation of wireless and mobile systems (MSWiM-05), pp 126–133Google Scholar
  5. 5.
    Bao L, G-L-Aceves JJ (2002) Transmission scheduling in ad hoc networks with directional antennas. In: Proceedings of IEEE/ACM 8th international conference on mobile computing and network (MobiCom-02), pp 48–58Google Scholar
  6. 6.
    Boughanmi N, Song Y (2008) A new routing metric for satisfying both energy and delay constraints in wireless sensor networks. Trans J Signal Process Syst 51(2):137–143CrossRefGoogle Scholar
  7. 7.
    Calinescu G (2003) Computing 2-hop neighborhoods in ad hoc wireless networks. In: Lecture notes in computer science of ad-hoc, mobile, and wireless networks, vol 2865, pp 175–186Google Scholar
  8. 8.
    Chen CS, Li Y, Song Y (2008) An exploration of geographic routing with k-hop based searching in wireless sensor networks. In: Proceedings of 3rd international conferance on communication networking in china (CHINACOM-2008), pp 376–381Google Scholar
  9. 9.
    Chipara O, He Z, Xing G, Chen Q, Wang X, Lu C, Stankovic Y, Abdelzaher T (2006) Real-time power-aware routing in sensor networks. In: Proceedings of 14th IEEE international workshop on quality of service (IWQoS-2006), pp 83–92Google Scholar
  10. 10.
    Christin D, Mogre PS, Hollick M (2010) Survey on wireless sensor network technologies for industrial automation: the security and quality of service perspectives. Trans Fute Internet 2(2):96–125CrossRefGoogle Scholar
  11. 11.
    Ebeling CE (2004) An introduction to reliability and maintainability engineering. Tata McGraw Hill Education Pvt. LtdGoogle Scholar
  12. 12.
    Felemban E, Lee C, Ekici E (2006) MMSPEED: multipath multi-SPEED protocol for QoS guarantee of reliability and timeliness in wireless sensor networks. IEEE Trans Mob Comput 5(6):738–754CrossRefGoogle Scholar
  13. 13.
    Gungor VC, Hancks GP (2009) Industrial wireless sensor networks: challenges design principles and technical approaches. IEEE Trans Indus Electron 56(10):4256–4265CrossRefGoogle Scholar
  14. 14.
    Gungor VC, Hancke GP (2013) Industrial wireless sensor neworks, applications, protocols, and standards. CRC Press, New YorkGoogle Scholar
  15. 15.
    He T, Stankovic JA, Lu C, Abdelzaher TF (2005) A spatiotemporal communication protocol for wireless sensor networks. IEEE Tran Parallel Distrib Syst 16(10):995–1006CrossRefGoogle Scholar
  16. 16.
    Heo J, Yi S, Park G, Cho Y, Hong J (2006) EAR-RT: enargy aware routing with real-time guarantee for wireless sensor networks. Lect Notes Comput Sci NY Springer 3994(1):946–953CrossRefGoogle Scholar
  17. 17.
    Jung J, Park S, Lee E, Oh S, Kim S-H (2010) OMLRP: multi-hop information based real-time routing protocol in wireless sensor networks. In: Proceedings of IEEE wireless communications and networking conference (WCNC-2010), pp 1–6Google Scholar
  18. 18.
    Karp B, Kung HT (2000) GPSR: greedy perimeter stateless routing for wireless networks. In: Proceedings of 6th annual international conference on mobile computing and networking (MobiCom-2000)Google Scholar
  19. 19.
    Krogmann M, Heidrich M, Bichler D, Barisic D, Stromberg G (2011) Reliable, real-time routing in wireless sensor and actuator networks. In: Transactions on ISRN communications and networking 2011, pp 1–8Google Scholar
  20. 20.
    Kumar M, Tripathi R, Tiwari S (2013) Two-hop information based gradient routing in industrial wireless sensor networks. In: Proceedings of 4th IEEE international conference on computer communication technology (ICCCT-2013), pp 228–232Google Scholar
  21. 21.
    Kumar M, Tripathi R, Tiwari S (2014) A reliable real-time routing protocol for industrial wireless sensor networks. In: IEEE Proceedings of 3rd international conference on power control and embedded systems (ICPCES-2014), pp 166–170Google Scholar
  22. 22.
    Li Y, Chen CS, Song Y-Q, Wang Z, Sun Y (2009) Enhancing real-time delivery in wireless sensor networks with two-hop information. IEEE Trans Indus Inf 5(2):113–122CrossRefGoogle Scholar
  23. 23.
    Mahapatra A, Anand K, Agrawal DP (2006) QoS and energy aware routing for real-time traffic in wireless sensor networks. Comput Commun 29(4):437–445CrossRefGoogle Scholar
  24. 24.
    Part 15.4: Wireless medium access control (MAC) and physical layer (PHY) specifications for low-rate wireless personal area networks (LR-WPANs), IEEE P802.15.4aD/4’, Jul. 2006 (Amendment of IEEE Standard 802.15.4), IEEE-SAGoogle Scholar
  25. 25.
    Pister K, Thubert P, Dwars S, Phinney T (2009) Industrial routing requirements in low-power lossy networks. In: Network working group internet draft-RFC 5673. doi: 10.17487/RFC5673
  26. 26.
    Polastre J, Hill J, Culler D (2004) Versatile low power media access for wireless sensor networks. In: Proceedings of ACM (SenSys-04), pp 95–107Google Scholar
  27. 27.
    Pottner WB, Seidel H, Brown J, Roedig U, Wolf L (2014) Constructing schedules for time-critical data delivery in wireless sensor networks. ACM Trans Sensor Netw 10(3):44:1–44:31CrossRefGoogle Scholar
  28. 28.
    QualNet Simulator (5.0.2). www.scalable-networks.com
  29. 29.
    Quang PTA, Kim D-S (2012) Enhancing real-time delivery of gradient routing for industrial wireless sensor networks. IEEE Trans Indus Inf 8(1):61–68CrossRefGoogle Scholar
  30. 30.
    Stojmenovic I (2005) Handbook of sensor networks: algorithms and architectures. Wiley, New YorkCrossRefGoogle Scholar
  31. 31.
    Surjeet Prakash A, Tripathi R (2013) QoS bandwidth estimation scheme for delay sensitive applications in MANETs. Int J Commun Netw 5(1):1–8CrossRefGoogle Scholar
  32. 32.
    Woo A, Tong T, Culler D (2003) Taming the underlying challenges of reliable multihop routing in sensor networks. In: Proceedings of 1st international conference on embedded networked sensor systems (SenSys-03), pp 14–27Google Scholar

Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.E.C.E.D.M.N.N.I.T. AllahabadAllahabadIndia
  2. 2.N. I. T. RaipurRaipurIndia

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