Energy-Efficient Analysis in Wireless Sensor Networks Applied to Routing Techniques for Internet of Things

  • Carolina Del-Valle-SotoEmail author
  • Gabriela Durán-Aguilar
  • Fabiola Cortes-Chavez
  • Alberto Rossa-Sierra
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 953)


Imagine being able to connect to the work network from a public park and then meet a friend for coffee or shopping. Imagine finding everything a tourist needs, such as bus schedules, nearby restaurants and other entertainment options in touch screen kiosks conveniently located throughout the city. Most applications of IoT depend on a battery for their operation and they are designed to reduce or even avoid the human intervention in the sensing process. Most IoT projects are motivated by a need to reduce operating energy costs or increase revenue. This paper presents and analyses the energy model of a wireless sensor using four different routing protocols: Multi-Parent Hierarchical (MPH), On Demand Distance Vector (AODV), Dynamic Source Routing (DSR) and ZigBee Tree Routing (ZTR). In these applications, the energy consumption is a key factor, sensors can be located in remote zones difficult to access, so it is not possible to replace the battery continuously. Due to the limitations of battery life, the nodes are designed to save as much energy as possible, and most of the time they are in sleep mode (low power consumption). Finding energy sources for difficult-to-connect device has become a priority for technology, in large part due to the rise of the IoT concept. This is why the network itself must provide energy saving mechanisms and a good solution could be in charge of the packets administration in the network. required format.


Wireless Sensor Networks Energy consumption Performance metrics Routing protocol Internet of things 


  1. 1.
    Yigitel, M.A., Incel, O.D., Ersoy, C.: QoS-aware MAC protocols for Wireless Sensor Networks: a survey. Comput. Netw. 55(8), 1982–2004 (2011)CrossRefGoogle Scholar
  2. 2.
    Perkins, C.E., Royer, E.M.: Ad-hoc on-demand distance vector routing. In: Proceedings of 2nd IEEE Workshop on Mobile Computing Systems and Applications, WMCSA 1999, pp. 90–100 (1999). Cited By: 5922.
  3. 3.
    Maltz, D.A., Broch, J., Jetcheva, J., Johnson, D.B.: Effects of on-demand behavior in routing protocols for multihop wireless ad hoc networks. IEEE J. Sel. Areas Commun. 17(8), 1439–1453 (1999)CrossRefGoogle Scholar
  4. 4.
    Del-Valle Soto, C., Mex Perera, C., Orozco Lugo, A., Galvan Tejada, G.M., Olmedo, O., Lara, M.: An efficient Multi-Parent Hierarchical routing protocol for WSNs. In: Wireless Telecommunications Symposium (2014). Cited By: 5Google Scholar
  5. 5.
    Alliance, Z.: ZigBee specification (document 053474r17), vol. 21, January 2008Google Scholar
  6. 6.
    Johnson, D.B., Maltz, D.A.: Dynamic source routing in ad hoc wireless networks. In: Mobile Computing, pp. 153–181. Springer (1996)Google Scholar
  7. 7.
    Wadhwa, L., Deshpande, R.S., Priye, V.: Extended shortcut tree routing for zigbee based wireless sensor network. Ad Hoc Netw. 37, 295–300 (2016)CrossRefGoogle Scholar
  8. 8.
    Han, G., Liu, L., Jiang, J., Shu, L., Hancke, G.: Analysis of energy-efficient connected target coverage algorithms for industrial wireless sensor networks. IEEE Trans. Industr. Inf. 13(1), 135–143 (2017)CrossRefGoogle Scholar
  9. 9.
    Fauzia, S., Fatima, K.: Performance evaluation of AODV routing protocol for free space optical mobile Ad-Hoc networks. In: Advances in Intelligent Systems and Computing, vol. 683 (2018)Google Scholar
  10. 10.
    Texas Instruments: CC2530 data sheet (2009)Google Scholar
  11. 11.
    Texas Instruments: Multi-standard CC2650 SensorTag Design Guide. Texas Instruments Incorporated, Dallas (2015)Google Scholar
  12. 12.
    IEEE: Wireless medium access control (MAC) and physical layer (PHY) specifications for low-rate wireless personal area networks (WPANs). IEEE Standard 802.15.4-2006. IEEE Computer Society, New York (Revision of IEEE Standard 802.15.4-2003) (2006)Google Scholar
  13. 13.
    Kamath, S., Lindh, J.: Measuring bluetooth low energy power consumption. Texas instruments application note AN092, Dallas (2010)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Carolina Del-Valle-Soto
    • 1
    Email author
  • Gabriela Durán-Aguilar
    • 1
  • Fabiola Cortes-Chavez
    • 1
  • Alberto Rossa-Sierra
    • 1
  1. 1.Facultad de IngenieríaUniversidad PanamericanaZapopanMéxico

Personalised recommendations