Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-11T04:43:47.814Z Has data issue: false hasContentIssue false

1 - Introduction to wireless sensor networks

Published online by Cambridge University Press:  05 December 2014

Mohammad S. Obaidat
Affiliation:
Monmouth University, New Jersey
Sudip Misra
Affiliation:
Indian Institute of Technology
HTML view is not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

Summary

Wireless sensor networks (WSNs) are a new class of wireless networks that are becoming very popular with a huge number of civilian and military applications. A wireless sensor network (WSN) is a wireless network that contains distributed independent sensor devices that are meant to monitor physical or environmental conditions. A WSN consists of a set of connected tiny sensor nodes, which communicate with each other and exchange information and data. These nodes obtain information on the environment such as temperature, pressure, humidity or pollutant, and send this information to a base station. The latter sends the info to a wired network or activates an alarm or an action, depending on the type and magnitude of data monitored [1–24].

Typical applications include weather and forest monitoring, battlefield surveillance, physical monitoring of environmental conditions such as pressure, temperature, vibration, pollutants, or tracing human and animal movement in forests and borders [1–23]. They use the same transmission medium (which is air) for wireless transmission as wireless local area networks (WLANs). For nodes in a local area network to communicate properly, standard access protocols like IEEE 802.11 are available. However, this and the other protocols cannot be directly applied to WSNs. The major difference is that, unlike devices participating in local area networks, sensors are equipped with a very small source of energy (usually a battery), which drains out very fast. Hence the need arises to design new protocols for MAC that are energy aware. Clearly there is some difference between a traditional WLAN and a WSN, as the latter has limited resources.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2014

References

Dhurandher, S., Misra, S., Obaidat, M. S. and Khairwal, S., “UWSim: a simulator for underwater wireless sensor networks,” Simulation: Transactions of the Society for Modeling and Simulation International, SCS, Vol. 84, No. 7, pp. 327–338, July 2008.CrossRefGoogle Scholar
Misra, S., Abraham, K., Obaidat, M. S. and Krishna, P., “LAID: a learning automata based scheme for intrusion detection in wireless sensor networks,” Security and Communications Networks, Wiley, Vol. 2, No. 2, pp. 105–115, March/April 2009.CrossRefGoogle Scholar
Obaidat, M. S., Nicopolitidis, P. and Li, J.-S., “Security in wireless sensor networks,” Security and Communications Networks, Wiley, Vol. 2, No. 2, pp. 101–103, March/April 2009.CrossRefGoogle Scholar
Misra, S., Obaidat, M. S., Sanchita, S. and Mohanta, D., “An energy-efficient, and secured routing protocol for wireless sensor networks,” in Proceedings of the 2009 SCS/IEEE International Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS 2009, pp. 185–192, Istanbul, Turkey, July 2009.Google Scholar
Misra, S., Abraham, K. I., Obaidat, M. S. and Krishna, P. V., “Intrusion detection in wireless sensor networks: the S-model learning automata approach,” in Proceedings of the 4th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications: The First International Workshop in Wireless and Mobile Computing, Networking and Communications (IEEE SecPriWiMob’08), pp. 603–607, Avignon, France, October 12–14, 2008.Google Scholar
Dhurandher, S. K., Misra, S., Obaidat, M. S. and Gupta, N., “QDV: a quality-based distance vector routing for wireless sensor networks using ant colony optimization,” in Proceedings of the 4th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications: The First International Workshop in Wireless and Mobile Computing, Networking and Communications (IEEE SecPriWiMob’08), pp. 598–602, Avignon, France, October 12–14, 2008.Google Scholar
Misra, S., Tiwari, V. and Obaidat, M. S., “Adaptive learning solution for congestion avoidance in wireless sensor networks,” in Proceedings of the IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2009, pp. 478–484, Rabat, Morocco, May 2009.CrossRefGoogle Scholar
Swami, A., Zhao, Q., Hong, Y.-W. and Tong, L. (Eds.), Wireless Sensor Networks: Signal Processing and Communication Perspectives, John Wiley & Sons, 2007.CrossRef
Tseng, Y.-C., Pan, M.-S. and Tsai, Y.-Y., “Wireless sensor networks for emergency navigation,” IEEE Computer, Vol. 39, No. 7, pp. 55–62, 2006.CrossRefGoogle Scholar
Chong, C.-Y. and Kumar, S. P., “Sensor networks: evolution, opportunities, and challenges,” Proceedings of IEEE, Vol. 91, No. 8, pp. 1247–1256, 2006.CrossRefGoogle Scholar
Cheekiralla, S. and Engels, D. W., “A functional taxonomy of wireless sensor network devices,” Proceedings of the 2005 International Conference on Broadband Networks Conference, BroadNets 2005, Vol. 2, pp. 949–956, 2005.Google Scholar
MacRuairi, R., Keane, M. T. and Coleman, G., “A wireless sensor network application requirements taxonomy,” in 2008 IEEE International Conference on Sensor Technologies and Applications, IEEE Computer Society, pp. 209–216, 2008.
Methley, S., Essentials of Wireless Mesh Networking, Cambridge University Press, 2009.CrossRefGoogle Scholar
Zheng, J. and Jamalipour, A., Wireless Sensor Networks: A Networking Perspective, John Wiley & Sons, 2009.CrossRefGoogle Scholar
Nicopolitidis, P., Obaidat, M. S., Papadimitriou, G. I. and Pomportsis, A. S., Wireless Networks, John Wiley & Sons, 2003.Google Scholar
Obaidat, M. S. and Ekis, J. W., “An automated system for characterizing ultrasonic transducers using pattern recognition,” IEEE Transactions on Instrumentation and Measurement, Vol. 40, No. 5, pp. 847–850, October 1991.CrossRefGoogle Scholar
Obaidat, M. S. and Abu-Saymeh, D. S., “Methodologies for characterizing ultrasonic transducers using neural network paradigms,” IEEE Transactions on Industrial Electronics, Vol. 39, No. 6, pp. 529–536, Dec. 1992.CrossRefGoogle Scholar
Obaidat, M. S., “On the characterization of ultrasonic transducers using pattern recognition techniques,” IEEE Transactions on Systems, Man, and Cybernetics, Vol. 23, No. 5, pp. 1443–1450, Sep./Oct. 1993.CrossRefGoogle Scholar
Obaidat, M. S., Khalid, H. and Sadoun, B., “Ultrasonic transducers characterization by neural networks,” Information Sciences Journal, Elsevier, Vol. 107, No. 1–4, pp. 195–215, June 1998.CrossRefGoogle Scholar
Obaidat, M. S. and Khalid, H., “Performance evaluation of neural network paradigms for ultrasonic transducers characterization,” in Proceedings of the IEEE International Conference on Electronics, Circuits and Systems, pp. 370–376, Dec. 1995.
Obaidat, M. S. and Abu-Saymeh, D. S., “Performance comparison of neural networks and pattern recognition techniques for classifying ultrasonic transducers,” in Proceedings of the 1992 ACM Symposium on Applied Computing, pp. 1234–1242, Kansas City, MO, March 1992.Google Scholar
Obaidat, M. S. and Abu-Saymeh, D. S., “Neural network and pattern recognition techniques for characterizing ultrasonic transducers,” in Proceedings of the 1992 IEEE Phoenix Conference on Computers and Communications, pp. 729–735, April 1992.
Dargie, W. and Poellabauer, C., Fundamentals of Wireless Sensor Networks: Theory and Practice, John Wiley & Sons, 2010.CrossRefGoogle Scholar
Sohraby, K., Minoli, D. and Znati, T., Wireless Sensor Networks: Technology, Protocols, and Applications, John Wiley & Sons, 2007.CrossRefGoogle Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×