Skip to main content
Erschienen in: Peer-to-Peer Networking and Applications 3/2017

30.08.2016

Distributed duty cycle control for delay improvement in wireless sensor networks

verfasst von: Zhuangbin Chen, Anfeng Liu, Zhetao Li, Young-june Choi, Jie Li

Erschienen in: Peer-to-Peer Networking and Applications | Ausgabe 3/2017

Einloggen

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

search-config
loading …

Abstract

Dynamically adjusting the time duration of a node to stay active in one data collection period, i.e., duty cycle, is an efficient strategy to save energy and prolong the lifetime of network. In this paper, we propose a novel Adaptation Duty Cycle Control (ADCC) scheme based on feedback signals for wireless sensor networks (WSNs) which can reduce to-sink data transmission delay while lifetime is also improved. In ADCC, every node adaptively adjusts its duty cycle by comparing its own energy consumption with the largest energy consumption of the entire packet delivery flow, which is stored in a feedback ACK packet generated by sink node. Since in WSNs, a huge number of sensor nodes in the area far from the sink node have much remaining energy when network dies, even up to 90 %, these nodes have much larger duty cycles in ADCC compared with previous schemes, therefore the data transmission delay can be reduced to a great extent. Additionally, ADCC provides a largest-energy notification mechanism in order to determine the appropriate duty cycle of nodes in each data collection flow according to the application-dependent requirements. Comparing with the Wake on Idle, Dual-QCon and the Same Duty Cycle (SDC) schemes, ADCC can reduce the delay by more than 59.5 % under the same network lifetime, or increase the lifetime by 32.8 %–63.4 % under the same delay requirements, while also increase energy efficiency as much as 43.1 %.

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 Zhang Y, He S, Chen J, et al. (2013) Distributed sampling rate control for rechargeable sensor nodes with limited battery capacity. IEEE Trans Wirel Commun 12(6):3096–3106CrossRef Zhang Y, He S, Chen J, et al. (2013) Distributed sampling rate control for rechargeable sensor nodes with limited battery capacity. IEEE Trans Wirel Commun 12(6):3096–3106CrossRef
2.
Zurück zum Zitat Zhang H, Cheng P, Shi L, Chen J (2015) Optimal denial-of-service attack scheduling with energy constraint. IEEE Trans Autom Control 60(11):3023–3028MathSciNetCrossRef Zhang H, Cheng P, Shi L, Chen J (2015) Optimal denial-of-service attack scheduling with energy constraint. IEEE Trans Autom Control 60(11):3023–3028MathSciNetCrossRef
3.
Zurück zum Zitat Luan TH, Cai LX, Chen J, Shen X, Bai F (2014) Engineering a distributed infrastructure for large-scale cost-effective content dissemination over urban vehicular networks. IEEE Trans Veh Technol 63(3):1419–1435CrossRef Luan TH, Cai LX, Chen J, Shen X, Bai F (2014) Engineering a distributed infrastructure for large-scale cost-effective content dissemination over urban vehicular networks. IEEE Trans Veh Technol 63(3):1419–1435CrossRef
4.
Zurück zum Zitat Zhang Y, He S, Chen J (2016) Data Gathering Optimization by Dynamic Sensing and Routing in Rechargeable Sensor Net-works. IEEE/ACM Trans Networking 24(3):1632–1646CrossRef Zhang Y, He S, Chen J (2016) Data Gathering Optimization by Dynamic Sensing and Routing in Rechargeable Sensor Net-works. IEEE/ACM Trans Networking 24(3):1632–1646CrossRef
5.
Zurück zum Zitat He S, Chen J, Li X, Shen X, Sun Y (2014) Mobility and intruder prior information improving the barrier coverage of sparse sensor networks. IEEE Trans Mob Comput 13(6):1268–1282CrossRef He S, Chen J, Li X, Shen X, Sun Y (2014) Mobility and intruder prior information improving the barrier coverage of sparse sensor networks. IEEE Trans Mob Comput 13(6):1268–1282CrossRef
6.
Zurück zum Zitat He S, Chen J, Jiang F, et al. (2013) Energy provisioning in wireless rechargeable sensor networks. IEEE Trans Mob Comput 12(10):1931–1942CrossRef He S, Chen J, Jiang F, et al. (2013) Energy provisioning in wireless rechargeable sensor networks. IEEE Trans Mob Comput 12(10):1931–1942CrossRef
7.
Zurück zum Zitat Zheng Z, Liu A, Cai L, et al. (2016) Energy and memory efficient clone detection in wireless sensor networks. IEEE Trans Mob Comput 12(2):788–800 Zheng Z, Liu A, Cai L, et al. (2016) Energy and memory efficient clone detection in wireless sensor networks. IEEE Trans Mob Comput 12(2):788–800
8.
Zurück zum Zitat Dai H, Chen G, Wang C, et al. (2015) Quality of energy provisioning for wireless power transfer. IEEE Trans Parallel Distrib Syst 26(2):527–537CrossRef Dai H, Chen G, Wang C, et al. (2015) Quality of energy provisioning for wireless power transfer. IEEE Trans Parallel Distrib Syst 26(2):527–537CrossRef
9.
Zurück zum Zitat Yang L, Cao J, Zhu W, et al. (2015) Accurate and efficient object tracking based on passive RFID. IEEE Trans Mob Comput 14(11):2188–2200CrossRef Yang L, Cao J, Zhu W, et al. (2015) Accurate and efficient object tracking based on passive RFID. IEEE Trans Mob Comput 14(11):2188–2200CrossRef
10.
Zurück zum Zitat Yang L, Cao J, Cheng HC, et al. (2015) Multi-user computation partitioning for latency sensitive mobile cloud applications. IEEE Trans Comput 64(8):2253–2266MathSciNetCrossRef Yang L, Cao J, Cheng HC, et al. (2015) Multi-user computation partitioning for latency sensitive mobile cloud applications. IEEE Trans Comput 64(8):2253–2266MathSciNetCrossRef
11.
Zurück zum Zitat Dai H, Wu X, Xu L, et al. (2015) Practical scheduling for stochastic event capture in energy harvesting sensor networks. International Journal of Sensor Networks 18(1/2):85–100CrossRef Dai H, Wu X, Xu L, et al. (2015) Practical scheduling for stochastic event capture in energy harvesting sensor networks. International Journal of Sensor Networks 18(1/2):85–100CrossRef
12.
Zurück zum Zitat Liu X (2015) A deployment strategy for multiple types of requirements in wireless sensor networks. IEEE Trans Cybern 45(10):2364–2376CrossRef Liu X (2015) A deployment strategy for multiple types of requirements in wireless sensor networks. IEEE Trans Cybern 45(10):2364–2376CrossRef
13.
Zurück zum Zitat Byun H, Son S, So J (2013) Queue management based duty cycle control for end-to-end delay guarantees in wireless sensor networks. Wirel Netw 19(6):1349–1360CrossRef Byun H, Son S, So J (2013) Queue management based duty cycle control for end-to-end delay guarantees in wireless sensor networks. Wirel Netw 19(6):1349–1360CrossRef
14.
Zurück zum Zitat Tahir M, Farrell R (2013) A cross-layer framework for optimal delay-margin, network lifetime and utility tradeoff in wireless visual sensor networks. Ad Hoc Netw 11:701–711CrossRef Tahir M, Farrell R (2013) A cross-layer framework for optimal delay-margin, network lifetime and utility tradeoff in wireless visual sensor networks. Ad Hoc Netw 11:701–711CrossRef
15.
Zurück zum Zitat Zhang R, Berder O, Gorce J, Sentieys O (2012) Energy–delay tradeoff in wireless multihop networks with unreliable links. Ad Hoc Netw 10:1306–1321CrossRef Zhang R, Berder O, Gorce J, Sentieys O (2012) Energy–delay tradeoff in wireless multihop networks with unreliable links. Ad Hoc Netw 10:1306–1321CrossRef
17.
Zurück zum Zitat Liu X, Ota K, Liu A, Chen Z (2016) An incentive game based evolutionary model for crowd sensing networks. Peer-to-Peer Networking and Applications 9(4):692–711 Liu X, Ota K, Liu A, Chen Z (2016) An incentive game based evolutionary model for crowd sensing networks. Peer-to-Peer Networking and Applications 9(4):692–711
18.
Zurück zum Zitat Dong M, Ota K, Yang T, Liu A, Guo M. (2016) LSCD: A Low Storage Clone Detecting Protocol for Cyber-Physical Systems. IEEE Trans Comput Aided Des Integr Circuits Syst 35(5): 712–723. Dong M, Ota K, Yang T, Liu A, Guo M. (2016) LSCD: A Low Storage Clone Detecting Protocol for Cyber-Physical Systems. IEEE Trans Comput Aided Des Integr Circuits Syst 35(5): 712–723.
19.
Zurück zum Zitat Vasuhi S, Vaidehi V (2016) Target tracking using interactive multiple model for wireless sensor network. Information Fusion 27:41–53 Vasuhi S, Vaidehi V (2016) Target tracking using interactive multiple model for wireless sensor network. Information Fusion 27:41–53
20.
Zurück zum Zitat Jamalabdollahi M, Zekavat R, Seyed A (2015) Joint neighbor discovery and time of arrival estimation in wireless sensor networks via OFDMA. IEEE Sensors J 15(10):5821–5833 Jamalabdollahi M, Zekavat R, Seyed A (2015) Joint neighbor discovery and time of arrival estimation in wireless sensor networks via OFDMA. IEEE Sensors J 15(10):5821–5833
21.
Zurück zum Zitat Oualhaj OA, Kobbane A, Sabir E, et al. (2015) A ferry-assisted solution for forwarding function in wireless sensor networks. Pervasive and Mobile Computing 22:126–135 Oualhaj OA, Kobbane A, Sabir E, et al. (2015) A ferry-assisted solution for forwarding function in wireless sensor networks. Pervasive and Mobile Computing 22:126–135
22.
Zurück zum Zitat Gao D, Wu G, Liu Y, et al. (2014) Bounded end-to-end delay with transmission power control techniques for rechargeable wireless sensor networks[J. AEU-International Journal of Electronics and Communications 68(5):395–405 Gao D, Wu G, Liu Y, et al. (2014) Bounded end-to-end delay with transmission power control techniques for rechargeable wireless sensor networks[J. AEU-International Journal of Electronics and Communications 68(5):395–405
23.
Zurück zum Zitat Du, S, Saha, AK, Johnson, DB. (2007) RMAC: a routing-enhanced duty-cycle MAC protocol for wireless sensor networks. In: Proceedings of the 26th annual IEEE conference on computer communications (INFOCOM). 2007. p. 1478–86. Du, S, Saha, AK, Johnson, DB. (2007) RMAC: a routing-enhanced duty-cycle MAC protocol for wireless sensor networks. In: Proceedings of the 26th annual IEEE conference on computer communications (INFOCOM). 2007. p. 1478–86.
24.
Zurück zum Zitat Ye, W, John H, Estrin D. (2007) An Energy-efficient MAC protocol for wireless sensor networks. In: IEEE Infocom. 2007. Ye, W, John H, Estrin D. (2007) An Energy-efficient MAC protocol for wireless sensor networks. In: IEEE Infocom. 2007.
25.
Zurück zum Zitat Naveen KP, Anurag K (2013) Relay selection for geographical forwarding in sleep-wake cycling wireless sensor networks. IEEE Trans Mob Comput 12(3):475–488 Naveen KP, Anurag K (2013) Relay selection for geographical forwarding in sleep-wake cycling wireless sensor networks. IEEE Trans Mob Comput 12(3):475–488
26.
Zurück zum Zitat Shanti C, Sahoo A (2010) DGRAM: A delay guaranteed routing and MAC protocol for wireless sensor networks. IEEE Trans Mobile Comput 9(10):1407–1423 Shanti C, Sahoo A (2010) DGRAM: A delay guaranteed routing and MAC protocol for wireless sensor networks. IEEE Trans Mobile Comput 9(10):1407–1423
28.
Zurück zum Zitat Liu A, Liu X, Liu Y (2016) A comprehensive analysis for fair probability marking based traceback approach in WSNs. Security and Communication Networks. doi:10.1002/ sec.1515 Liu A, Liu X, Liu Y (2016) A comprehensive analysis for fair probability marking based traceback approach in WSNs. Security and Communication Networks. doi:10.​1002/​ sec.​1515
29.
Zurück zum Zitat Liu Y, Dong M, Ota K, Liu A (2016) ActiveTrust: secure and trustable routing in wireless sensor networks. IEEE Trans Inf Forensics Secur 11(9):2013–2027 Liu Y, Dong M, Ota K, Liu A (2016) ActiveTrust: secure and trustable routing in wireless sensor networks. IEEE Trans Inf Forensics Secur 11(9):2013–2027
30.
Zurück zum Zitat Gallego, M. I. V., & Rousseau, F. (2013) Energy efficient neighborhood maintenance and medium access with Wake on Idle. In INFOCOM, 2013 Proceedings IEEE pp. 2931–2939. Gallego, M. I. V., & Rousseau, F. (2013) Energy efficient neighborhood maintenance and medium access with Wake on Idle. In INFOCOM, 2013 Proceedings IEEE pp. 2931–2939.
31.
Zurück zum Zitat Zhang H, Cheng P, Shi L, Chen J (2016) Optimal DoS Attack Scheduling in Wireless Networked Control System. IEEE Trans Control Syst Technol 24(3):843–852 Zhang H, Cheng P, Shi L, Chen J (2016) Optimal DoS Attack Scheduling in Wireless Networked Control System. IEEE Trans Control Syst Technol 24(3):843–852
32.
Zurück zum Zitat Chen J, Xu W, He S, Sun Y, Thulasiraman P, Shen X (2016) Utility-based asynchronous flow control algorithm for wireless sensor networks. IEEE J Sel Areas Commun 28(7):1116–1126 Chen J, Xu W, He S, Sun Y, Thulasiraman P, Shen X (2016) Utility-based asynchronous flow control algorithm for wireless sensor networks. IEEE J Sel Areas Commun 28(7):1116–1126
33.
Zurück zum Zitat Liu Y, Liu A, Chen Z (2015) Analysis and improvement of send-and-wait automatic repeat-reQuest protocols for wireless sensor networks. Wirel Pers Commun 81(3):923–959 Liu Y, Liu A, Chen Z (2015) Analysis and improvement of send-and-wait automatic repeat-reQuest protocols for wireless sensor networks. Wirel Pers Commun 81(3):923–959
34.
Zurück zum Zitat Al-Anbagi I, Erol Kantarci M, Mouftah HT (2016) A survey on cross-layer quality of service approaches in wsns for delay and reliability aware applications. IEEE Commun Surv Tutorials 18(1):525–552 Al-Anbagi I, Erol Kantarci M, Mouftah HT (2016) A survey on cross-layer quality of service approaches in wsns for delay and reliability aware applications. IEEE Commun Surv Tutorials 18(1):525–552
35.
Zurück zum Zitat Sakaguchi M (1961) Dynamic programming of some sequential sampling design. J. Math. Anal Appl 2(3):446–466 Sakaguchi M (1961) Dynamic programming of some sequential sampling design. J. Math. Anal Appl 2(3):446–466
36.
Zurück zum Zitat Hu Y, Liu A (2016) Improvement the quality of mobile target detection through portion of node with fully duty cycle in WSNs. Comput Syst Sci Eng 31(1):5–17 Hu Y, Liu A (2016) Improvement the quality of mobile target detection through portion of node with fully duty cycle in WSNs. Comput Syst Sci Eng 31(1):5–17
37.
Zurück zum Zitat Xia L, Shihada B (2015) A Jackson network model and threshold policy for joint optimization of energy and delay in multi-hop wireless networks. Eur J Oper Res 242(3):778–787 Xia L, Shihada B (2015) A Jackson network model and threshold policy for joint optimization of energy and delay in multi-hop wireless networks. Eur J Oper Res 242(3):778–787
39.
Metadaten
Titel
Distributed duty cycle control for delay improvement in wireless sensor networks
verfasst von
Zhuangbin Chen
Anfeng Liu
Zhetao Li
Young-june Choi
Jie Li
Publikationsdatum
30.08.2016
Verlag
Springer US
Erschienen in
Peer-to-Peer Networking and Applications / Ausgabe 3/2017
Print ISSN: 1936-6442
Elektronische ISSN: 1936-6450
DOI
https://doi.org/10.1007/s12083-016-0501-0

Weitere Artikel der Ausgabe 3/2017

Peer-to-Peer Networking and Applications 3/2017 Zur Ausgabe

Premium Partner