Encyclopedia of Wireless Networks

Living Edition
| Editors: Xuemin (Sherman) Shen, Xiaodong Lin, Kuan Zhang

Data Gathering in Wireless Sensor Networks

  • Catalina Aranzazu-Suescun
  • Mihaela Cardei
Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-32903-1_257-1

Synonyms

Definitions

Data gathering is an important operation in wireless sensor networks which deals with collecting data from the sensor nodes and transmitting them to a sink (or base station) where it is further processed and available for end-user queries.

Historical Background

Wireless sensor networks (WSNs) are deployed to collect useful data from an area of interest. Data gathering is an important operation in wireless sensor networks, and it deals with collecting data from the sensor nodes. There are several aspects that should be considered when designing algorithms and protocols for data gathering:
  • Energy efficiency. Sensor nodes are usually resource constrained, and they are equipped with batteries which often cannot be recharged or replaced. Therefore, it is important to design energy-efficient mechanisms.

  • Network elements. There are several variations in the architecture of the network, such as the following: sensor nodes may...

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References

  1. Abo-Zahhad M, Ahmed SM, Sabor N, Sasaki S (2015) Mobile sink-based adaptive immune energy efficient clustering protocol for improving the lifetime and stability period of wireless sensor networks. IEEE Sensors J, vol 15. https://doi.org/10.1109/JSEN.2015.2424296 CrossRefGoogle Scholar
  2. Aranzazu-Suescun C, Cardei M (2016) Event-based clustering for composite event detection in wireless sensors networks. In: 35th IEEE international performance computing and communications conference (IPCCC), Las VegasGoogle Scholar
  3. Aranzazu-Suescun C, Cardei M (2017) Distributed algorithms for event reporting in mobile-sink WSNs for internet of things. Tsinghua Sci Technol J, vol 22. https://doi.org/10.23919/TST.2017.7986944 CrossRefGoogle Scholar
  4. Burrell J, Brooke T, Beck R (2014) Vineyard computing: sensor networks in agricultural production. IEEE Pervasive Comput J, vol 3. https://doi.org/10.1109/MPRV.2004.1269130 CrossRefGoogle Scholar
  5. Dong M, Ota K, Lin M, Tang Z, Du S, Zhu H (2014) UAV-assisted data gathering in wireless sensor networks. J Supercomput, vol 70. https://doi.org/10.1007/s11227-014-1161-6 CrossRefGoogle Scholar
  6. Gao J, Li J, Cai Z, Gao H (2015) Composite event coverage in wireless sensor networks with heterogeneous sensors. In: 2015 IEEE conference on computer communications (INFOCOM), Hong KongGoogle Scholar
  7. Hu YF, Ding LH, Ren LH, Hao KR, Han H (2015) An endocrine cooperative particle swarm optimization algorithm for routing recovery problem of wireless sensor networks with multiple mobile sinks. Info Sci J, vol 300. https://doi.org/10.1016/j.ins.2014.11.052 CrossRefGoogle Scholar
  8. Intanagonwiwat C, Govindan R, Estrin D (2000) Directed diffusion: a scalable and robust communication paradigm for sensor networks. In: The 6th annual international conference on mobile computing and networking, BostonGoogle Scholar
  9. Javaid N, Ilyas N, Ahmad A, Alrajeh N, Qasim U, Ali Khan Z, Liaqat T, Iqbal Khan M (2015) An efficient data-gathering routing protocol for underwater wireless sensor networks. Sens J, vol 11. https://doi.org/10.3390/s151129149 CrossRefGoogle Scholar
  10. Jea D, Somasundara A, Srivastava M (2006) Multiple controlled mobile elements (Data Mules) for data collection in sensor networks. In: 1st international conference on distributed computing in sensor systems, San FranciscoGoogle Scholar
  11. Khan MI, Gansterer WN, Khokhar A, Haring G (2012) Static vs mobile sink: the influence of basic parameters on energy efficiency in wireless sensor networks. Comput Commun J, vol 15. https://doi.org/10.1016/j.comcom.2012.10.010 CrossRefGoogle Scholar
  12. Khan AW, Abdullah AH, Razzaque MA, Bangash JI (2015) VGDRA: a virtual grid-based dynamic routes adjustment scheme for mobile sink-based wireless sensor networks. IEEE Sens J, vol 36. https://doi.org/10.1016/j.comcom.2012.04.007 CrossRefGoogle Scholar
  13. Ma M, Yang Y (2008) Data gathering in wireless sensor networks with mobile collectors. In: IEEE international symposium on parallel and distributed processing (IPDPS), MiamiGoogle Scholar
  14. Ma M, Yang Y, Zhao M (2013) Tour planning for mobile data-gathering mechanisms in wireless sensor networks. IEEE Trans Veh Technol, vol 62. https://doi.org/10.1109/TVT.2012.2229309 CrossRefGoogle Scholar
  15. Marta M, Cardei M (2009) Improved sensor network lifetime with multiple mobile sinks. Elsevier J Pervasive Mob Comput, vol 5. https://doi.org/10.1016/j.pmcj.2009.01.001 CrossRefGoogle Scholar
  16. Memon I, Muntean T (2012) Cluster-based energy-efficient composite event detection for wireless sensor networks. In: The sixth international conference on sensor technologies and applications (SENSORCOMM), RomeGoogle Scholar
  17. Patel B, Bhagat D (2014) Shifting of sink position in wireless sensor networks. Int J Eng Dev Res 2:2566–2571Google Scholar
  18. Pignaton de Freitas E, Heimfarth T, Netto IF, Lino CE, Pereira CE, Morado Ferreira A, Wagner FR, Larsson T (2010) UAV relay network to support WSN connectivity. In: International congress on ultra-modern telecommunications and control systems and workshops (ICUMT), MoscowGoogle Scholar
  19. Salarian H, Chin KW, Naghdy F (2014) An energy-efficient mobile-sink path selection strategy for wireless sensor networks. IEEE Trans Veh Technol, vol 63. https://doi.org/10.1109/TVT.2013.2291811 CrossRefGoogle Scholar
  20. Samaras NS, Triantari FS (2016) On direct diffusion routing for wireless sensor networks. In: 2016 advances in wireless and optical communications (RTUWO), RigaGoogle Scholar
  21. Shah RC, Roy S, Jain S, Brunette W (2003) Data MULEs: modeling and analysis of a three-tier architecture for sparse sensor networks. In: 1st IEEE international workshop on sensor network protocols and applications, AnchorageGoogle Scholar
  22. Tian K, Zhang B, Huang K (2010) Data gathering protocols for wireless sensor networks with mobile sinks. In: IEEE global telecommunications conference (GLOBECOM10), MiamiGoogle Scholar
  23. Tunca C, Isik S, Donmez MY, Ersoy C (2015) Ring routing: an energy-efficient routing protocol for wireless sensor networks with a mobile sink. IEEE Trans Mob Comput, vol 14. https://doi.org/10.1109/TMC.2014.2366776 CrossRefGoogle Scholar
  24. Villas LA, Boukerche A, Guidoni DL, de Oliveira H, Borges de Araujo R, Loureiro A (2012) An energy-aware spatio-temporal correlation mechanism to perform efficient data collection in wireless sensor networks. Comput Commun J, vol 36. https://doi.org/10.1016/j.comcom.2012.04.007 CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Florida Atlantic UniversityBoca RatonUSA

Section editors and affiliations

  • Jiming Chen
  • Ruilong Deng
    • 1
  1. 1.University of AlbertaEdmontonCanada