Skip to main content
Erschienen in: Computing 3/2015

01.03.2015

LINKORD: link ordering-based data gathering protocol for wireless sensor networks

verfasst von: Marjan Radi, Behnam Dezfouli, Kamalrulnizam Abu Bakar, Shukor Abd Razak, Malrey Lee

Erschienen in: Computing | Ausgabe 3/2015

Einloggen

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

search-config
loading …

Abstract

With respect to the multi-hop communication pattern of wireless sensor networks, all the nodes should establish multi-hop paths towards a common data gathering point to provide a data gathering service for the underlying applications. Although data gathering protocols provide a simple service, these protocols suffer from poor performance in practice due to the power constraints of low-power sensor nodes and unreliability of wireless links. Existing data gathering protocols rely on the ETX metric to find high-throughput paths through assuming there is an infinite number of transmission attempts at the link layer for delivering a single packet over every link. However, in practice the link layer provides a bounded number of transmissions per packet over individual links. Therefore, employing existing data gathering protocols in these situations may result in the construction of the paths that require more than maximum number of provided link layer transmissions for delivering a single packet over each link. In this regard, we propose a path cost function which considers the limitation on the number of provided link layer transmissions and relative position of the links along the paths according to their data transmission probability. Furthermore, we introduce a data gathering protocol which uses the proposed path cost function to construct high-throughput paths. Moreover, this protocol employs a newly designed congestion control mechanism during the data transmission process to provide energy-efficient and high-throughput data delivery. The simulation results show that, the proposed protocol improves data delivery ratio by 70 % and network goodput by 80 %, while it reduces the consumed energy for data delivery by 50 % compared to the default data gathering protocol of TinyOS.

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

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!

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+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!

Literatur
1.
Zurück zum Zitat Arampatzis T, Lygeros J, Manesis S (2005) A survey of applications of wireless sensors and wireless sensor networks. In: Proceedings of the 2005 IEEE international symposium on, mediterrean conference on control and automation intelligent control, 2005, IEEE, pp 719–724 Arampatzis T, Lygeros J, Manesis S (2005) A survey of applications of wireless sensors and wireless sensor networks. In: Proceedings of the 2005 IEEE international symposium on, mediterrean conference on control and automation intelligent control, 2005, IEEE, pp 719–724
2.
Zurück zum Zitat Baccour N, Jamaa MB (2009) A comparative simulation study of link quality estimators in wireless sensor networks. In: IEEE international symposium on modeling, analysis & simulation of computer and telecommunication systems (MASCOTS ’09), pp 1–10 Baccour N, Jamaa MB (2009) A comparative simulation study of link quality estimators in wireless sensor networks. In: IEEE international symposium on modeling, analysis & simulation of computer and telecommunication systems (MASCOTS ’09), pp 1–10
3.
Zurück zum Zitat Baccour N, Mottola L, Niga MZ (2012) Radio link quality estimation in wireless sensor networks : a survey. ACM Trans Sens Netw 8(4):35CrossRef Baccour N, Mottola L, Niga MZ (2012) Radio link quality estimation in wireless sensor networks : a survey. ACM Trans Sens Netw 8(4):35CrossRef
4.
Zurück zum Zitat Borges VC, Curado M, Monteiro E (2011) Cross-layer routing metrics for mesh networks: current status and research directions. Comput Commun 34(6):681–703CrossRef Borges VC, Curado M, Monteiro E (2011) Cross-layer routing metrics for mesh networks: current status and research directions. Comput Commun 34(6):681–703CrossRef
5.
Zurück zum Zitat Burri N, Rickenbach PV (2007) Dozer: ultra-low power data gathering in sensor networks. In: Proceedings of the 6th international conference on information processing in sensor networks (IPSN ’07), pp 450–459 Burri N, Rickenbach PV (2007) Dozer: ultra-low power data gathering in sensor networks. In: Proceedings of the 6th international conference on information processing in sensor networks (IPSN ’07), pp 450–459
6.
Zurück zum Zitat Cerpa A, Wong JL, Potkonjak M, Estrin D (2005) Temporal properties of low power wireless links: modeling and implications on multi-hop routing. In: Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing (MobiHoc ’05) Cerpa A, Wong JL, Potkonjak M, Estrin D (2005) Temporal properties of low power wireless links: modeling and implications on multi-hop routing. In: Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing (MobiHoc ’05)
7.
Zurück zum Zitat Colesanti U, Santini S (2011) The collection tree protocol for the castalia wireless sensor networks simulator. Tech. rep., No 729, Department of Computer Science, ETH Zurich, Zurich, Switzerland Colesanti U, Santini S (2011) The collection tree protocol for the castalia wireless sensor networks simulator. Tech. rep., No 729, Department of Computer Science, ETH Zurich, Zurich, Switzerland
8.
Zurück zum Zitat Couto DSJD, Aguayo D, Bicket J, Morris R (2003) A high-throughput path metric for multi-hop wireless routing. ACM Mobicom Conf. ACM, San Diego, pp 134–146 Couto DSJD, Aguayo D, Bicket J, Morris R (2003) A high-throughput path metric for multi-hop wireless routing. ACM Mobicom Conf. ACM, San Diego, pp 134–146
9.
Zurück zum Zitat Das S, Pucha H, Papagiannaki K (2007) Studying wireless routing link metric dynamics. In: Proceedings of the 7th ACM SIGCOMM conference on Internet measurement (IMC ’07), pp 327–332 Das S, Pucha H, Papagiannaki K (2007) Studying wireless routing link metric dynamics. In: Proceedings of the 7th ACM SIGCOMM conference on Internet measurement (IMC ’07), pp 327–332
10.
Zurück zum Zitat Deshpande V, Sarode P, Sarode S (2010) Root cause analysis of congestion in wireless sensor network. Int J Comput Appl 1(18):31–34 Deshpande V, Sarode P, Sarode S (2010) Root cause analysis of congestion in wireless sensor network. Int J Comput Appl 1(18):31–34
11.
Zurück zum Zitat Dezfouli B, Radi M, Razak SA, Whitehouse K, Bakar KA, Hwee-pink T (2014) Improving broadcast reliability for neighbor discovery, link estimation and collection tree construction in wireless sensor networks. Comp Netw 62:101–121 Dezfouli B, Radi M, Razak SA, Whitehouse K, Bakar KA, Hwee-pink T (2014) Improving broadcast reliability for neighbor discovery, link estimation and collection tree construction in wireless sensor networks. Comp Netw 62:101–121
13.
Zurück zum Zitat Draves R, Zill B, Padhye J (2004) Comparison of routing metrics for static multi-hop wireless networks. In: Proceedings of the 2004 conference on applications, technologies, architectures, and protocols for computer communications, ACM, pp 133–144 Draves R, Zill B, Padhye J (2004) Comparison of routing metrics for static multi-hop wireless networks. In: Proceedings of the 2004 conference on applications, technologies, architectures, and protocols for computer communications, ACM, pp 133–144
14.
Zurück zum Zitat England D, Veeravalli B (2007) A robust spanning tree topology for data collection and dissemination in distributed environments. IEEE Trans Parallel Distrib 18(5):608–620CrossRef England D, Veeravalli B (2007) A robust spanning tree topology for data collection and dissemination in distributed environments. IEEE Trans Parallel Distrib 18(5):608–620CrossRef
15.
Zurück zum Zitat Ww Fang, Jm Chen, Ts Chu, Dp Qian (2009) Congestion avoidance, detection and alleviation in wireless sensor networks. J Zhejiang Univ Sci C 11(1):63–73 Ww Fang, Jm Chen, Ts Chu, Dp Qian (2009) Congestion avoidance, detection and alleviation in wireless sensor networks. J Zhejiang Univ Sci C 11(1):63–73
16.
Zurück zum Zitat Fonseca R, Gnawali O, Jamieson K, Kim S, Levis P, Woo A (2006) The collection tree protocol (CTP). Tech. rep., TEP 123, TinyOS Network Working Group Fonseca R, Gnawali O, Jamieson K, Kim S, Levis P, Woo A (2006) The collection tree protocol (CTP). Tech. rep., TEP 123, TinyOS Network Working Group
17.
Zurück zum Zitat Ganesan D, Krishnamachari B, Woo A, Culler D (2002) Complex behavior at scale: an experimental study of low-power wireless sensor networks. Tech. rep., UCLA/CSD-TR 02–0013, Computer Science Department, UCLA Ganesan D, Krishnamachari B, Woo A, Culler D (2002) Complex behavior at scale: an experimental study of low-power wireless sensor networks. Tech. rep., UCLA/CSD-TR 02–0013, Computer Science Department, UCLA
18.
Zurück zum Zitat García-hernández CF, Ibargüengoytia-gonzález PH, García-hernández J, Pérez-díaz JA (2007) Wireless sensor networks and applications: a survey. Int J Comput Sci Netw Secur 7(3):264–273 García-hernández CF, Ibargüengoytia-gonzález PH, García-hernández J, Pérez-díaz JA (2007) Wireless sensor networks and applications: a survey. Int J Comput Sci Netw Secur 7(3):264–273
19.
Zurück zum Zitat Gilbert EEPK, Baskaran K (2012) Research issues in wireless sensor network applications: a survey. Int J Inf Electron Eng 2(5):702–706 Gilbert EEPK, Baskaran K (2012) Research issues in wireless sensor network applications: a survey. Int J Inf Electron Eng 2(5):702–706
20.
Zurück zum Zitat Gnawali O, Jamieson K, Levis P, Fonseca R (2007) Four-bit wireless link estimation. In. In Proceedings of the 6th workshop on hot topics in networks (HotNets ’06), In sixth workshop on hot topics in networks (HotNets) Gnawali O, Jamieson K, Levis P, Fonseca R (2007) Four-bit wireless link estimation. In. In Proceedings of the 6th workshop on hot topics in networks (HotNets ’06), In sixth workshop on hot topics in networks (HotNets)
21.
Zurück zum Zitat Gnawali O, Fonseca R, Jamieson K (2009) Collection tree protocol. In: Proceedings of the 7th ACM conference on embedded networked sensor systems (SenSys ’09) Gnawali O, Fonseca R, Jamieson K (2009) Collection tree protocol. In: Proceedings of the 7th ACM conference on embedded networked sensor systems (SenSys ’09)
22.
Zurück zum Zitat Heidemann J, Estrin D (2007) Centralized routing for resource-constrained wireless sensor networks. Tech. Rep , August, UCLA, Los Angeles, CA, USA Heidemann J, Estrin D (2007) Centralized routing for resource-constrained wireless sensor networks. Tech. Rep , August, UCLA, Los Angeles, CA, USA
23.
Zurück zum Zitat Jakllari G, Eidenbenz S (2012) Link positions matter : a noncommutative routing metric for wireless mesh networks. IEEE Trans Mobile Comput 11(1):61–72CrossRef Jakllari G, Eidenbenz S (2012) Link positions matter : a noncommutative routing metric for wireless mesh networks. IEEE Trans Mobile Comput 11(1):61–72CrossRef
24.
Zurück zum Zitat Kim KH, Shin KG (2006) On accurate measurement of link quality in multi-hop wireless mesh networks. In: Proceedings of the 12th annual international conference on mobile computing and networking (MobiCom ’06), ACM Press, pp 38–49 Kim KH, Shin KG (2006) On accurate measurement of link quality in multi-hop wireless mesh networks. In: Proceedings of the 12th annual international conference on mobile computing and networking (MobiCom ’06), ACM Press, pp 38–49
25.
Zurück zum Zitat Levis P, Patel N, Culler D, Shenker S (2004) Trickle: a self-regulating algorithm for code propagation and maintenance in wireless sensor networks. In: Proceddings of the first symposium on networked system design and implementation (NSDI ’04), San Francisco, CA Levis P, Patel N, Culler D, Shenker S (2004) Trickle: a self-regulating algorithm for code propagation and maintenance in wireless sensor networks. In: Proceddings of the first symposium on networked system design and implementation (NSDI ’04), San Francisco, CA
26.
Zurück zum Zitat Lin S, Zhou G, Whitehouse K, Wu Y (2009) Towards stable network performance in wireless sensor networks. In: Proceedings of the 30th IEEE real-time systems symposium (RTSS ’09), pp 227–237 Lin S, Zhou G, Whitehouse K, Wu Y (2009) Towards stable network performance in wireless sensor networks. In: Proceedings of the 30th IEEE real-time systems symposium (RTSS ’09), pp 227–237
27.
Zurück zum Zitat Meier A, Rein T, Beutel J, Thiele L (2008) Coping with unreliable channels: efficient link estimation for low-power wireless sensor networks. In: Proceedings of the 5th international conference on networked sensing systems, IEEE, pp 19–26 Meier A, Rein T, Beutel J, Thiele L (2008) Coping with unreliable channels: efficient link estimation for low-power wireless sensor networks. In: Proceedings of the 5th international conference on networked sensing systems, IEEE, pp 19–26
28.
Zurück zum Zitat Moeller S, Sridharan A, Krishnamachari B (2010) Routing without routes: the backpressure collection protocol. In: Proceedings of the 9th ACM/IEEE international conference on information processing in sensor networks (IPSN ’10). Stockholm, Sweden, pp 279–290 Moeller S, Sridharan A, Krishnamachari B (2010) Routing without routes: the backpressure collection protocol. In: Proceedings of the 9th ACM/IEEE international conference on information processing in sensor networks (IPSN ’10). Stockholm, Sweden, pp 279–290
29.
Zurück zum Zitat Polastre J, Hill J, Culler D (2004) Versatile low power media access for wireless sensor networks categories and subject descriptors. In: Proceedings of the 2nd international conference on Embedded networked sensor systems (SenSys ’04). Maryland, USA, pp 95–107 Polastre J, Hill J, Culler D (2004) Versatile low power media access for wireless sensor networks categories and subject descriptors. In: Proceedings of the 2nd international conference on Embedded networked sensor systems (SenSys ’04). Maryland, USA, pp 95–107
30.
Zurück zum Zitat Puccinelli D, Haenggi M (2008) Duchy: double cost field hybrid link estimation for low-power wireless sensor networks. In: Proceedings of the 5th workshop on embedded networked sensors (HotEmNets’08) Puccinelli D, Haenggi M (2008) Duchy: double cost field hybrid link estimation for low-power wireless sensor networks. In: Proceedings of the 5th workshop on embedded networked sensors (HotEmNets’08)
31.
Zurück zum Zitat Radi M, Dezfouli B, Nematbakhsh MA (2011) Interference-aware multipath routing protocol for qos improvement in event-driven wireless sensor networks. Tsinghua Sci Technol 16(5):475–490CrossRef Radi M, Dezfouli B, Nematbakhsh MA (2011) Interference-aware multipath routing protocol for qos improvement in event-driven wireless sensor networks. Tsinghua Sci Technol 16(5):475–490CrossRef
32.
Zurück zum Zitat Radi M, Dezfouli B, Bakar K, Lee M (2012) Multipath routing in wireless sensor networks: survey and research challenges. Sensors 12(1):650–685CrossRef Radi M, Dezfouli B, Bakar K, Lee M (2012) Multipath routing in wireless sensor networks: survey and research challenges. Sensors 12(1):650–685CrossRef
33.
Zurück zum Zitat Radi M, Dezfouli B, Bakar KA, Razak SA, Lee M (2013) Network initialization in low-power wireless networks: a comprehensive study. Comp J. doi:10.1093/comjnl/bxt074 Radi M, Dezfouli B, Bakar KA, Razak SA, Lee M (2013) Network initialization in low-power wireless networks: a comprehensive study. Comp J. doi:10.​1093/​comjnl/​bxt074
34.
Zurück zum Zitat Radi M, Dezfouli B, Bakar KA, Razak SA (2014) Integration and analysis of neighbor discovery and link quality estimation in wireless sensor networks. Sci World J 2014:1–23. Art No 789642. doi:10.1155/2014/789642 Radi M, Dezfouli B, Bakar KA, Razak SA (2014) Integration and analysis of neighbor discovery and link quality estimation in wireless sensor networks. Sci World J 2014:1–23. Art No 789642. doi:10.​1155/​2014/​789642
35.
Zurück zum Zitat Radi M, Dezfouli B, Bakar KA, Razak SA, Hwee-pink T (2014) IM2PR: interference-minimized multipath routing protocol for wireless sensor. Wirel Netw 1–17. doi:10.1007/s11276-014-0710-5 Radi M, Dezfouli B, Bakar KA, Razak SA, Hwee-pink T (2014) IM2PR: interference-minimized multipath routing protocol for wireless sensor. Wirel Netw 1–17. doi:10.​1007/​s11276-014-0710-5
36.
Zurück zum Zitat Schoellhammer T, Greenstein B (2006) Hyper: a routing protocol to support mobile users of sensor networks. Tech report, Center for Embedded Network Sensing (CENS) Schoellhammer T, Greenstein B (2006) Hyper: a routing protocol to support mobile users of sensor networks. Tech report, Center for Embedded Network Sensing (CENS)
37.
Zurück zum Zitat Srinivasan K, Levis P (2006) RSSI is under appreciated. In: Proceedings of the 3th ACM workshop on embedded networked sensors (EmNets ’06) Srinivasan K, Levis P (2006) RSSI is under appreciated. In: Proceedings of the 3th ACM workshop on embedded networked sensors (EmNets ’06)
38.
Zurück zum Zitat Srinivasan K, Dutta P, Tavakoli A (2010) An empirical study of low power wireless. ACM Trans Sens Netw 6(2):1–49CrossRef Srinivasan K, Dutta P, Tavakoli A (2010) An empirical study of low power wireless. ACM Trans Sens Netw 6(2):1–49CrossRef
40.
Zurück zum Zitat Vlavianos A, Law LK, Broustis I, Krishnamurthy SV, Faloutsos M, Kong L (2008) Assessing link quality in IEEE 802.11 Wireless networks: which is the right metric? In: IEEE 19th international symposium on personal. indoor and mobile radio communications, IEEE, pp 1–6 Vlavianos A, Law LK, Broustis I, Krishnamurthy SV, Faloutsos M, Kong L (2008) Assessing link quality in IEEE 802.11 Wireless networks: which is the right metric? In: IEEE 19th international symposium on personal. indoor and mobile radio communications, IEEE, pp 1–6
41.
Zurück zum Zitat Voigt T, Willig A, Kay R, Boano CA, Z MA (2010) The triangle metric : fast link quality estimation for mobile wireless sensor networks. In: Proceedings of 19th international conference on computer communications and networks (ICCCN’10), pp 1–7 Voigt T, Willig A, Kay R, Boano CA, Z MA (2010) The triangle metric : fast link quality estimation for mobile wireless sensor networks. In: Proceedings of 19th international conference on computer communications and networks (ICCCN’10), pp 1–7
42.
Zurück zum Zitat Wang F, Liu J (2011) Networked wireless sensor data collection: issues, challenges, and approaches. IEEE Commun Surv Tutor 13(4):673–687CrossRef Wang F, Liu J (2011) Networked wireless sensor data collection: issues, challenges, and approaches. IEEE Commun Surv Tutor 13(4):673–687CrossRef
43.
Zurück zum Zitat Whitehouse K, Woo A, Jiang F, Polastre J, Culler D (2005) Exploiting the capture effect for collision detection and recovery. The second IEEE workshop on embedded networked sensors, 2005. EmNetS-II, IEEE, Sydney, pp 45–52CrossRef Whitehouse K, Woo A, Jiang F, Polastre J, Culler D (2005) Exploiting the capture effect for collision detection and recovery. The second IEEE workshop on embedded networked sensors, 2005. EmNetS-II, IEEE, Sydney, pp 45–52CrossRef
44.
Zurück zum Zitat Woo A, Tong T, Culler D (2003) Taming the underlying challenges of reliable multihop routing in sensor networks. Proceedings of the 1st international conference on Embedded networked sensor systems. ACM, Los Angeles, pp 14–27CrossRef Woo A, Tong T, Culler D (2003) Taming the underlying challenges of reliable multihop routing in sensor networks. Proceedings of the 1st international conference on Embedded networked sensor systems. ACM, Los Angeles, pp 14–27CrossRef
45.
Zurück zum Zitat Yick J, Mukherjee B, Ghosal D (2008) Wireless sensor network survey. Comput Netw 52(12):2292–2330CrossRef Yick J, Mukherjee B, Ghosal D (2008) Wireless sensor network survey. Comput Netw 52(12):2292–2330CrossRef
46.
Zurück zum Zitat Zamalloa MZn, Krishnamachari B (2007) An analysis of unreliability and asymmetry in low-power wireless links. ACM Trans Sens Netw 3(2):34CrossRef Zamalloa MZn, Krishnamachari B (2007) An analysis of unreliability and asymmetry in low-power wireless links. ACM Trans Sens Netw 3(2):34CrossRef
47.
Zurück zum Zitat Zhou G, He T, Krishnamurthy S (2006) Models and solutions for radio irregularity in wireless sensor networks. ACM Trans Sens Netw 2(2):221–262CrossRef Zhou G, He T, Krishnamurthy S (2006) Models and solutions for radio irregularity in wireless sensor networks. ACM Trans Sens Netw 2(2):221–262CrossRef
Metadaten
Titel
LINKORD: link ordering-based data gathering protocol for wireless sensor networks
verfasst von
Marjan Radi
Behnam Dezfouli
Kamalrulnizam Abu Bakar
Shukor Abd Razak
Malrey Lee
Publikationsdatum
01.03.2015
Verlag
Springer Vienna
Erschienen in
Computing / Ausgabe 3/2015
Print ISSN: 0010-485X
Elektronische ISSN: 1436-5057
DOI
https://doi.org/10.1007/s00607-014-0414-9

Weitere Artikel der Ausgabe 3/2015

Computing 3/2015 Zur Ausgabe