Skip to main content

Part of the book series: Signals and Communication Technology ((SCT))

  • 515 Accesses

Abstract

Sensing is life; WSNs are acquiring snowballing interests in research and industry; they are infiltrated in day-to-day use. Owing to their requirement of low device complexity as well as slight energy consumption, proper standards are devised to ensure impeccable communication and meaningful sensing. This chapter takes care of enlightening the special features of WSNs and differentiates WSNs from MANETs and mesh networks. Care is also accorded to the different WSN standards that adapt to home and industry applications.

The critical requirement of any WSN deployment strategy is to gather and export the collected into an enterprise application or a spreadsheet. Embedded WSN-to-Internet integration is implemented via some kind of gateway device seated between the IEEE 802.15.4 network and the IP network. The gateway server’s role is to translate the sensor network traffic and provide it in a consumable form for another network, either IP or an industrial network. Also, the 6LoWPAN working group of the Internet Engineering Task Force (IETF) submitted the implementation of IP for low-power, low-bandwidth networks. 6LoWPAN defines IP communication over low-power wireless IEEE 802.15.4 personal area networks. The proposed standard, approved by the IETF in March 2007, incorporates IPv6 version of the IP protocol. Because of IP pervasiveness as a global communication standard across industries, vendors can create sensor nodes that can communicate directly with other IP devices, whether those devices are wired or wireless and local or across the Internet, on Ethernet, WiFi, 6LoWPAN, or other networks. Network managers are thus able to gain direct real-time access to sensor nodes and are able to apply a broad range of Internet management and security tools. More importantly, the WSN can be viewed and managed as just another IP device, making it accessible and familiar to many more people and applications.

WSN standards are tailored to suit typical applications; they vary accordingly from manufacturer to another depending on their main line of activity, whether it is pointed toward industry, military, environment, health, daily life, etc. As such there is no default standard, but there is a standard that fits in a given type of application and that characterizes a given producer.

This chapter offers an in-depth exhibition of the types of WSNs, the performance metrics of WSNs, and the different WSN standards.

Good beginnings lead to happy endings, most of the time.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 129.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Ahna, J., Syedb, A., Krishnamacharia, B., & Heidemannb, J. (2011, July). Design and analysis of a propagation delay tolerant ALOHA protocol for underwater networks. Ad Hoc Networks Journal (Elsevier), 9(5), 752–766.

    Google Scholar 

  • Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002a, August). A survey on sensor networks. Communications Magazine (IEEE), 40(8), 102–114.

    Google Scholar 

  • Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002b, March). Wireless sensor networks: A survey. Computer Networks (Elsevier), 38(4), 393–422.

    Google Scholar 

  • Akyildiz, I. F., Melodia, T., & Chowdury, K. R. (2007, December). Wireless multimedia sensor networks: A survey. IEEE Wireless Communication (IEEE), 14(6), 32–39.

    Google Scholar 

  • Anastasi, G., Conti, M., & Di Francesco, M. (2009, December). Reliable and energy-efficient data collection in sparse sensor networks with mobile elements. Performance Evaluation (Elsevier), 66(12), 791–810.

    Google Scholar 

  • ANT. (2013). ANT message protocol and usage. ANT. www.thisisant.com/resources/ant-message-protocol-and-usage. Accessed 5 Sept 2013.

  • Birds & Blooms. (2013). Can birds smell or taste?. http://www.birdsandblooms.com/Birds/Summer/Can-Birds-Smell-or-Taste/. Accessed 22 Aug 2013.

  • Bouckaert, S., De Poorter, E., Latré, B., Hoebeke, J., Moerman, I., & Demeester, P. (2010, May). Strategies and challenges for interconnecting wireless mesh and wireless sensor networks. Wireless Personal Communications (Springer), 53(3), 443–463.

    Google Scholar 

  • Callaway, E., et al. (2002, August). Home networking with IEEE 802.15.4: A developing standard for low-rate wireless personal area networks. Communications Magazine (IEEE), 40(8), 70–77.

    Google Scholar 

  • Castillo-Effen, M., Quintela, D. H., Jordan, R., Westhoff, W., & Moreno, W. (2004). Wireless sensor networks for flash-food alerting. In Fifth IEEE international Caracas conference on Devices, Circuits, and Systems, Dominican Republic (pp. 142–146). Caracas: IEEE.

    Google Scholar 

  • Chandrasekhar, V., Seah, W. K., Choo, Y. S., & Ee, H. V. (2006). Localization in underwater sensor networks: Survey and challenges. In First ACM international workshop on Underwater Networks (WuWNet) (pp. 33–40). Los Angeles.

    Google Scholar 

  • Cordeiro, C. M., & Agrawal, D. P. (2002). Mobile ad hoc networking. In 20th Brazilian symposium on Computer Networks (pp. 125–186).

    Google Scholar 

  • Costa, M. S., & Amaral, J. L. M. (2012). Analysis of wireless industrial automation standards: ISA-100.11a and WirelessHART. http://www.isa.org/InTechTemplate.cfm?template=/ContentManagement/ContentDisplay.cfm&ContentID=93257. Accessed 28 Aug 2013.

  • Di Francesco, M., Das, S. K., & Anastasi, G. (2011, August). Data collection in wireless sensor networks with mobile elements: A survey. ACM Transactions on Sensor Networks (TOSN) (ACM), 8(1).

    Google Scholar 

  • EnOcean. (2013). Radio technology. http://www.enocean.com/en/radio-technology/. Accessed 5 Sept 2013.

  • Erol-Kantarci, M., Mouftah, H. T., & Oktug, S. (2011). A survey of architectures and localization techniques for underwater acoustic sensor networks. Communications Surveys & Tutorials (IEEE), 13(3), 487–502.

    Google Scholar 

  • Frenzel, L. (2012, November 29). What’s the difference between bluetooth low energy and ANT? http://electronicdesign.com/mobile/what-s-difference-between-bluetooth-low-energy-and-ant. Accessed 31 Aug 2013.

  • Gao, T., Greenspan, D., Welsh, M., Juang, R. R., & Alm, A. (2005). Vital signs monitoring and patient tracking over a wireless network. In 27th IEEE EMBS Annual International Conference (pp. 102–105). Shanghai: IEEE.

    Google Scholar 

  • Gomez, C., & Paradells, J. (2010, June). Wireless home automation networks: A survey of architectures and technologies. Communications Magazine (IEEE), 92–101.

    Google Scholar 

  • GOV.UK. (2012, September 18). Radio and telecommunications terminal equipment. www.gov.uk. Accessed 27 Sept 2013.

  • Gutierrez, J. A., Naeve, M., Callaway, E., Bourgeois, M., Mitter, V., & Heile, B. (2001, September/October). IEEE 802.15.4: A developing standard for low-power, low-cost wireless personal area networks. Network (IEEE), 15(5), 12–19.

    Google Scholar 

  • Heidemann, J., Ye, W., Wills, J., Syed, A., & Li, Y. (2006). Research challenges and applications for underwater sensor networking. In Wireless Communications and Networking Conference (WCNC) (pp. 228–235). Las Vegas: IEEE.

    Google Scholar 

  • Howitt, I., & Gutierrez, J. A. (2003). IEEE 802.15.4 low rate – Wireless personal area network coexistence issues. In Wireless Communications and Networking (WCNC) (pp. 1481–1486). IEEE.

    Google Scholar 

  • IEEE. (2013a). IEEE 802.15 Working Group for WPAN. http://grouper.ieee.org/groups/802/15/. Accessed 15 Sept 2013.

  • IEEE. (2013b). IEEE 802.15 WPAN Task Group 3 (TG3). www.ieee802.org/15/pub/TG3.html. Accessed 15 Sept 2013.

  • IEEE. (2019, January 1). EEE 802.15 Working Group for WPAN. http://www.ieee802.org/15/. Accessed 10 June 2019.

  • INSTEON. (2013). The details – Version 2.0. White Paper, INSTEON.

    Google Scholar 

  • ITU. ITU. (1947). http://www.itu.int/dms_pub/itu-s/oth/02/01/S020100002B4813PDFE.pdf. Accessed 7 Sept 2013.

  • Jornet, M., Stojanovic, M., & Zorzi, M. (2008). Focused beam routing protocol for underwater acoustic networks. In Third ACM international workshop on Underwater Networks (WUWNET) (pp. 75–82). San Francisco: ACM.

    Google Scholar 

  • Khan, J. M., Katz, R. H., & Pister, K. S. J. (1999). Next century challenges: Mobile networking for “Smart dust”. In 5th annual ACM/IEEE international conference on Mobile Computing and Networking (MobiCom) (pp. 271–278). ACM.

    Google Scholar 

  • Kim, A. N., Hekland, F., Petersen, S., & Doyle, P. (2008). When HART goes wireless: Understanding and implementing the WirelessHART Standard. In IEEE international conference on Emerging Technologies and Factory Automation (ETFA) (pp. 899–907). Hamburg: IEEE.

    Google Scholar 

  • Lee, J.-S., Su, Y.-W., & Shen, C.-C. (2007). A comparative study of wireless protocols: Bluetooth, UWB, ZigBee, and Wi-Fi. In The 33rd annual conference of the IEEE Industrial Electronics Society (IECON) (pp. 46–51). Taipei: IEEE.

    Google Scholar 

  • Lee, U., Wang, P., Noh, Y., Vieira, L., Gerla, M., & Cui, J.-H. (2010). Pressure routing for underwater sensor networks. In 29th conference on Information Communications (INFOCOM) (pp. 1676–1684). San Diego: IEEE.

    Google Scholar 

  • Li, M., & Liu, Y. (2007). Underground structure monitoring with wireless sensor networks. In The 6th international conference on Information Processing in Sensor Networks (IPSN) (pp. 69–78). Cambridge, MA: ACM/IEEE.

    Google Scholar 

  • Li, M., & Liu, Y. (2009, March). Underground coal mine monitoring with wireless sensor networks. Transactions on Sensor Networks (ACM), V(2).

    Google Scholar 

  • Li, L., Vuran, M. C., & Akyildiz, I. F. (2007). Characteristics of underground channel for wireless underground sensor networks. In The 6th Annual Mediterranean Ad Hoc Networking WorkShop (pp. 32–39). Corfu: Ionian University.

    Google Scholar 

  • Montenegro, G., Kushalnagar, N., Hui, J., & Culler, D. (2007, September). Transmission of IPv6 packets over IEEE 802.15.4 networks-RFC4944. http://www.hjp.at/doc/rfc/rfc4944.html. Accessed 29 Aug 2013.

  • Mulligan, G. (2007). The 6LoWPAN architecture. In 4th workshop on Embedded Networked Sensors (EmNets) (pp. 78–82). ACM.

    Google Scholar 

  • National Museum Scotland. (2013, January 1). Animal senses. http://www.nms.ac.uk/our_museums/national_museum/explore_the_galleries/natural_world/animal_senses.aspx. Accessed 22 Aug 2013.

  • Negron, V. (2020, July 4). How fish sense and ‘Feel’. PETMED. https://www.petmd.com/fish/care/evr_fi_fish_senses. Accessed 15 Nov 2010.

  • O. Orkin Insect Zoo. (2013, January 1). Basic facts: Insect senses. Mississippi State University. http://insectzoo.msstate.edu/Students/basic.senses.html. Accessed 22 Aug 2013.

  • Pakzad, S. N., Fenves, G. L., Kim, S., & Culler, D. E. (2008, March). Design and implementation of scalable wireless sensor network for structural monitoring. Journal of Infrastructure Systems (ASCE), 14, 89–101.

    Google Scholar 

  • Pei, Z., Deng, Z., Yang, B., & Cheng, X. (2008). Application-oriented wireless sensor network communication protocols and hardware platforms: A survey. In IEEE International Conference on Industrial Technology (ICIT) (pp. 1–6). Chengdu: IEEE.

    Google Scholar 

  • Petersen, S., & Carlsen, S. (2011, December). WirelessHART Versus ISA100.11a: The format war hits the factory floor. IEEE Industrial Electronics Magazine (IEEE), 5(4), 23–34.

    Google Scholar 

  • Raffaele, B., Conti, M., & Gregori, E. (2005, March). Mesh networks: Commodity multihop ad hoc networks. Communications Magazine (IEEE), 123–131.

    Google Scholar 

  • Reinisch, C., Kastner, W., Neugschwandtner, G., & Granzer, W. (2007). Wireless technologies in home and building automation. In 2007 5th IEEE International Conference on Industrial Informatics (pp. 93–98). Vienna: IEEE.

    Chapter  Google Scholar 

  • Safaric, S., & Malaric, K. (2006). ZigBee wireless standard. In 48th International Symposium ELMAR (pp. 259–262). Zadar: IEEE.

    Google Scholar 

  • Shelby, Z., & Bormann, C. (2011). 6LoWPAN: The wireless embedded internet. Wiley.

    Google Scholar 

  • Song, J., et al. (2008). WirelessHART: Applying wireless technology in real-time industrial process control. In Real-Time and Embedded Technology and Applications Symposium (RTAS) (pp. 377–386). St. Louis: IEEE.

    Google Scholar 

  • Tilak, S., Abu-Ghazaleh, N., & Heinzelman, W. (2002, April). A taxonomy of wireless micro-sensor network models. ACM SIGMOBILE Mobile Computing and Communications Review (ACM), VI(2), 28–36.

    Google Scholar 

  • Tseng, Y.-H., Wu, E. H.-K., & Chen, G.-H. (2003). Maximum traffic scheduling and capacity analysis for IEEE 802.15.3 high data rate MAC protocol. In IEEE 58th Vehicular Technology Conference (pp. 1678–1682). IEEE.

    Google Scholar 

  • U.S. Government Printing Office. (2013, September). TITLE 47 – Telecommunication. www.ecfr.gov. Accessed 27 Sept 2013.

  • UCSB ScienceLine. (2020, July 4). How do plants sense a change in the environment? UCSB ScienceLine. http://scienceline.ucsb.edu/getkey.php?key=1014. Accessed 25 Oct 2005.

  • Van Der Wateren, F. (2008). The art of developing WSN applications with Myrianed. Technical Report, Chess Company, The Netherlands.

    Google Scholar 

  • Vuran, M. C., & Akyildiz, I. F. (2008). Cross-layer packet size optimization for wireless terrestrial, underwater, and underground sensor networks. In The 27th conference on Computer Communications (INFOCOM). Phoenix: IEEE.

    Google Scholar 

  • Warneke, B., & Pister, K. S. J. (2002). MEMS for distributed wireless sensor networks. In 9th international conference on Electronics, Circuits and Systems (pp. 291–294). Dubrovnik: IEEE.

    Chapter  Google Scholar 

  • Wener-Allen, G., et al. (2006, March/April). Deploying a wireless sensor network on an active volcano. Internet Computing (IEEE), 18–25.

    Google Scholar 

  • Xiao, D., Wei, M., & Zhou, Y. (2006). Secure-SPIN: Secure sensor protocol for information via negotiation for wireless sensor networks. In First IEEE conference on Industrial Electronics and Applications (pp. 1–4). Singapore: IEEE.

    Google Scholar 

  • Yick, J., Mukherjee, B., & Ghosal, D. (2005). Analysis of a prediction-based mobility adaptive tracking algorithm. In Second international conference on Broadband Networks (BROADNETS) (pp. 753–760). Boston: IEEE.

    Google Scholar 

  • Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Computer Networks (Elsevier), 52, 2292–2330.

    Google Scholar 

  • Zhang, J., Orlik, P. V., Molisch, A. F., & Kinney, P. (2009, February). UWB systems for wireless sensor networks. Proceedings of the IEEE (IEEE), 97(2), 313–331.

    Google Scholar 

  • Zhou, Z., Peng, Z., Cui, J.-H., & Shi, Z. (2011). Scalable localization with mobility prediction for underwater sensor networks. IEEE Transactions on Mobile Computing (IEEE), 10(3), 335–348.

    Google Scholar 

  • ZigBee Alliance. (2013, January 1). Specifications. ZigBee Alliance. http://zigbee.org/Specifications.aspx. Accessed 28 Aug 2013.

  • Z-Wave Alliance. (2012). Products. http://www.Z-Wavealliance.org/. Accessed 30 Aug 2013.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Fahmy, H.M.A. (2021). Introduction. In: Concepts, Applications, Experimentation and Analysis of Wireless Sensor Networks. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-58015-5_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-58015-5_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58014-8

  • Online ISBN: 978-3-030-58015-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics