Skip to main content
Erschienen in: Wireless Personal Communications 4/2017

14.06.2016

Soft Computing Based Fine Tuning and Clock Synchronization in Wireless Sensor Networks

verfasst von: N. Saravanaselvam, C. Devipriya, S. Janakiraman

Erschienen in: Wireless Personal Communications | Ausgabe 4/2017

Einloggen

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

search-config
loading …

Abstract

In this paper, we focus on the various aspects related to synchronization in wireless sensor networks, their features and how to increase the lifetime of the sensor and network nodes. The focus is about clock synchronization, delay measurement in time synchronization and fine grained network time synchronization. The recent advancements in the sensor technology has led to the miniaturization of the sensors and its related components, and similarly reduced the cost to a larger extent. This enabled an active rise in the research of large scale networks of sensors. The synchronization of sensor nodes is critical to its effective operation especially the time synchronization, for the data fusion, duty cycling and so on. Most of the algorithms for synchronization that were proposed recently do the same work. The server periodically sends a piece of information or message that contains the current value of clock to the client. This happens in case of time synchronization of the sensor nodes. The proper definition for sensor networks comes as follows. It is a special type of ad-hoc network, in which the nodes, also referred to ass wireless devices get together and the form a network without any need for underlying infrastructure spontaneously. They can cooperate only by forwarding packets to each other since there are no routers in an environment without any infrastructure. When the environment is distributed in nature, then more complex is the scenario. But time synchronization is an important component of such distributed environments. It aims to provide a common time for the local clocks in their network (Sivrikaya and Yener in IEEE Netw 18(4):45–50, 2004). For applications of networking protocols, at any particular instant, there should be a common view of the clock in the network.

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

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!

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 Sivrikaya, F., & Yener, B. (2004). Time synchronization in sensor networks: A survey. IEEE Network, 18(4), 45–50.CrossRef Sivrikaya, F., & Yener, B. (2004). Time synchronization in sensor networks: A survey. IEEE Network, 18(4), 45–50.CrossRef
2.
Zurück zum Zitat Devipriya, C., Saravanaselvam, N., & Saradha, S. (2015). Achieving increased QoS, maximized lifetime, better routing and target coverage in wireless sensor networks. ARPN Journal of Engineering and Applied Sciences, 10(13), 5642–5645. Devipriya, C., Saravanaselvam, N., & Saradha, S. (2015). Achieving increased QoS, maximized lifetime, better routing and target coverage in wireless sensor networks. ARPN Journal of Engineering and Applied Sciences, 10(13), 5642–5645.
3.
Zurück zum Zitat Elson, J., Girod, L., & Estrin, D. (2002). Fine-grained network time synchronization using reference broadcasts. In Proceedings of the 5th symposium on operating systems design and implementation. Elson, J., Girod, L., & Estrin, D. (2002). Fine-grained network time synchronization using reference broadcasts. In Proceedings of the 5th symposium on operating systems design and implementation.
4.
Zurück zum Zitat Ping, S. (2003). Delay measurement time synchronization for wireless sensor networks. Intel Research Berkeley Lab 6, 1–10. Ping, S. (2003). Delay measurement time synchronization for wireless sensor networks. Intel Research Berkeley Lab 6, 1–10.
5.
Zurück zum Zitat Sundararaman, B., Buy, U., & Kshemkalyani, A. D. (2005). Clock synchronization for wireless sensor networks: A survey. Ad hoc Networks, 3(3), 281–323. Sundararaman, B., Buy, U., & Kshemkalyani, A. D. (2005). Clock synchronization for wireless sensor networks: A survey. Ad hoc Networks, 3(3), 281–323.
6.
Zurück zum Zitat Reddy, V., Kumar, P., Janakiram, D., & Kumar, G. A. (2009). Operating systems for wireless sensor networks: A survey. International Journal of Sensor Networks, 5, 236–255.CrossRef Reddy, V., Kumar, P., Janakiram, D., & Kumar, G. A. (2009). Operating systems for wireless sensor networks: A survey. International Journal of Sensor Networks, 5, 236–255.CrossRef
7.
Zurück zum Zitat Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Computer Networks, 52(12), 2292–2330.CrossRef Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Computer Networks, 52(12), 2292–2330.CrossRef
8.
Zurück zum Zitat Greunen, J. V., & Rabaey, J. (2003). Lightweight time synchronization using reference broadcasts. In Proceedings of the 2nd ACM international conference on WSNA. San Diego, CA. Greunen, J. V., & Rabaey, J. (2003). Lightweight time synchronization using reference broadcasts. In Proceedings of the 2nd ACM international conference on WSNA. San Diego, CA.
9.
Zurück zum Zitat Li, Y., Chen, C.-S., Song, Y.-Q. et al. (2007). RealtimeQoS support in wireless sensor networks: A survey. In Proceedings of the 7th IFAC international conference on fieldbuses & networks in industrial &embedded systems (FET’07) (pp. 373–380). Toulouse, France. Li, Y., Chen, C.-S., Song, Y.-Q. et al. (2007). RealtimeQoS support in wireless sensor networks: A survey. In Proceedings of the 7th IFAC international conference on fieldbuses & networks in industrial &embedded systems (FET’07) (pp. 373–380). Toulouse, France.
10.
Zurück zum Zitat Cristian, F. (1989). Probablistic clock synchronization. Distributed Computing, 3, 146–158.CrossRefMATH Cristian, F. (1989). Probablistic clock synchronization. Distributed Computing, 3, 146–158.CrossRefMATH
11.
Zurück zum Zitat Devipriya, C., Mohanram, S., & Saradha, S. (2015). Design aspects of operating systems used in wireless sensor networks. International Journal of Applied Engineering Research, 10(20), 18570–18579. Devipriya, C., Mohanram, S., & Saradha, S. (2015). Design aspects of operating systems used in wireless sensor networks. International Journal of Applied Engineering Research, 10(20), 18570–18579.
12.
Zurück zum Zitat Son, D., Krishnamachari, B., & Heidemann, J. (2006). Experimental study of concurrent transmission in wireless sensor networks. In Proceedings of the 4th international conference on embedded networked sensor systems (SenSys’06) (pp. 237–250). Boulder, Colorado, USA. Son, D., Krishnamachari, B., & Heidemann, J. (2006). Experimental study of concurrent transmission in wireless sensor networks. In Proceedings of the 4th international conference on embedded networked sensor systems (SenSys’06) (pp. 237–250). Boulder, Colorado, USA.
13.
Zurück zum Zitat Li, J., Blake, C., Couto, D. S. J. D. et al. (2001). Capacity of adhoc wireless networks. In Proceedings of the 7th annual international conference on mobile computing and networking (MobiCom’01) (pp. 61–69). Rome, Italy. Li, J., Blake, C., Couto, D. S. J. D. et al. (2001). Capacity of adhoc wireless networks. In Proceedings of the 7th annual international conference on mobile computing and networking (MobiCom’01) (pp. 61–69). Rome, Italy.
14.
Zurück zum Zitat Radi, M., Dezfouli, B., Bakar, K. A., Razak, S. A., & Nematbakhsh, M. A. (2011). Interference-aware multipath routing protocol for QoS improvement in event-driven wireless sensor networks. Tsinghua Science and Technology, 16(5), 475–490.CrossRef Radi, M., Dezfouli, B., Bakar, K. A., Razak, S. A., & Nematbakhsh, M. A. (2011). Interference-aware multipath routing protocol for QoS improvement in event-driven wireless sensor networks. Tsinghua Science and Technology, 16(5), 475–490.CrossRef
15.
Zurück zum Zitat Rahman, M. N., & Matin, M. A. (2011). Efficient algorithm for prolonging network lifetime of wireless sensor networks. Tsinghua Science And Technology, 16(6), 561–568.CrossRef Rahman, M. N., & Matin, M. A. (2011). Efficient algorithm for prolonging network lifetime of wireless sensor networks. Tsinghua Science And Technology, 16(6), 561–568.CrossRef
16.
Zurück zum Zitat Wang, W., Srinivasan, V., & Chua, K.-C. (2008). Extending the lifetime of wireless sensor networks through mobile relays. IEEE Transactions on Networking, 16(5), 1108–1120.CrossRef Wang, W., Srinivasan, V., & Chua, K.-C. (2008). Extending the lifetime of wireless sensor networks through mobile relays. IEEE Transactions on Networking, 16(5), 1108–1120.CrossRef
17.
Zurück zum Zitat Hou, Y. T., Shi, Y., & Sherali, H. D. (2006). Optimal base-station selection for anycast routing in wireless sensor networks. IEEE Transaction on Vehicular Technology, 55(3), 813–821.CrossRef Hou, Y. T., Shi, Y., & Sherali, H. D. (2006). Optimal base-station selection for anycast routing in wireless sensor networks. IEEE Transaction on Vehicular Technology, 55(3), 813–821.CrossRef
18.
Zurück zum Zitat Showkat, M. J., Paul, B., Matin, M. A., et al. (2009). Optimal sink location in wireless sensor networks using particle swarm optimization. In Proceedings of the 2009 IEEE international conference on antennas, propagation and systems (INAS 2009) (pp. 1–4). Johor Bahru, Malaysia. Showkat, M. J., Paul, B., Matin, M. A., et al. (2009). Optimal sink location in wireless sensor networks using particle swarm optimization. In Proceedings of the 2009 IEEE international conference on antennas, propagation and systems (INAS 2009) (pp. 1–4). Johor Bahru, Malaysia.
19.
Zurück zum Zitat Kennedy, J., & Eberhart, R. C. (1995). Particle swarm optimization. In IEEE International conference on neural networks (Vol. 4, pp. 1942–1948). Perth, Australia. Kennedy, J., & Eberhart, R. C. (1995). Particle swarm optimization. In IEEE International conference on neural networks (Vol. 4, pp. 1942–1948). Perth, Australia.
Metadaten
Titel
Soft Computing Based Fine Tuning and Clock Synchronization in Wireless Sensor Networks
verfasst von
N. Saravanaselvam
C. Devipriya
S. Janakiraman
Publikationsdatum
14.06.2016
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-016-3377-7

Weitere Artikel der Ausgabe 4/2017

Wireless Personal Communications 4/2017 Zur Ausgabe

Neuer Inhalt