Advertisement

Self-Adaptive Communication of Wireless Sensor Networks

  • N. Nithya LakshmiEmail author
  • T. SatyaKishan
  • K. RajaSekharam
  • M. Hanmandlu
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 3)

Abstract

Wireless sensor network is a network of devices that collect the information from the environment and communicate by means of wireless links. These networks are susceptible to interference from environment that almost leads to the disconnection of nodes in the network. Moreover, changes in environment, energy exhaustion or crash in system may result in frequent node failure and topology changes thereby disturbing natural functioning of the network. Because of the dynamic nature of sensor networks, new nodes enter and the network topology regularly changes that mandate the network to act autonomously, recover itself and remain functional by finding an alternative communication path between the communicating nodes. This paper mainly emphases on how nodes in such networks discover their neighbors and self-organize themselves to perform peer-to peer data routing with topologies that are generally dynamic and decentralized. It also deals with how remaining nodes in the network automatically self-heal & reorganize the network topology in case of node failures.

Keywords

Wireless Sensor Networks (WSNs) 6LoWPAN Self-heal RPL Dynamic routing Contiki 

References

  1. 1.
    Smith TF, Waterman MS (1981) Identification of common molecular subsequences. J Mol Biol 147:195–197CrossRefGoogle Scholar
  2. 2.
    Winter T, Thubert P, Brandt A, Hui J, Kelsey R, Pister K, Levis P, Struik R, Vasseur JP, Alexander R (2012) RPL: IPv6 routing protocol for low power and lossy networks. IETF RFC: 6550Google Scholar
  3. 3.
    Contiki: The open source OS for the internet of things. https://www.contiki-os.org
  4. 4.
    Vasseur JP (2014) Terms used in routing for low power and lossy networks. IETF RFC: 7102Google Scholar
  5. 5.
    Vasseur JP, Agarwal N, Hui J, Shelby Z, Bertrand P, Chauvenet C (2011) RPL: The IP routing protocol designed for low power and lossy networks. Internet Protocol for Smart Objects (IPSO) AllianceGoogle Scholar
  6. 6.
    Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. J Comput Networks 38(4):393–422CrossRefGoogle Scholar
  7. 7.
    Gaddour O, Koubaa A (2012) RPL in a nutshell: a survey. Comput Networks 56:3163–3178CrossRefGoogle Scholar
  8. 8.
    Dunkels A, Gronvall B, Voigt T Contiki – a lightweight and flexible operating system for tiny networked sensorsGoogle Scholar
  9. 9.
    Texas Instruments: CC1310 data sheet. www.ti.com
  10. 10.
    Ko JG, TerZis A, Dawson-Haggerty S, Culler DE, Hui JW, Lewis P (2011) Connecting low-power and lossy networks to the internet. Commun Mag IEEE 49(4):96–101CrossRefGoogle Scholar
  11. 11.
    Kushalnagar N, Montenegro G, Schumacher C et al (2007) IPv6 over low-power wireless personal area networks (6LoWPANs): overview, assumptions, problem statement and goals. RFC 4919Google Scholar
  12. 12.
    Montenegro G, Kushalnagar N, Hui J, Culler DE (2007) Transmission of IPv6 packets over IEEE 802.15.4 networks. RFC 4944Google Scholar
  13. 13.
    Zhang T, Li X (2014) Evaluating and analyzing the performance of RPL in ContikiGoogle Scholar
  14. 14.
    Thubert P, Pister K, Dwars S, Phinney T (2009) Industrial routing requirements in low power and lossy networks. IETF RFC 5673Google Scholar
  15. 15.
    Brandt A, Buron J, Porcu G (2010) Home automation routing requirements in low power and lossy networks. IETF RFC 5826Google Scholar
  16. 16.
    Dohler M, Barthel D, Watteyne T, Winter T (2009) Routing requirements for Urban low-power and lossy networks. IETF RFC 5548Google Scholar
  17. 17.
    Martocci J, De Mil P, Riou N, Vermeylen W (2010) Building automation routing requirements in low power and lossy networks. IETF RFC 5867Google Scholar
  18. 18.
    Khelifi N, Kammoun W, Youssef H (2014) Efficiency of the RPL repair mechanisms for low power and lossy networks: IEEEGoogle Scholar
  19. 19.
    Gaddour O et al (2014) OF-FL: QoS-aware fuzzy logic objective function for RPL routing protocol, pp 365–372Google Scholar
  20. 20.
    Banh M et al (2015) Performance evaluation of multiple RPL routing tree instances for internet of things applications. IEEEGoogle Scholar
  21. 21.
    Tripathu J, Oliveira J, Vasseur J (2010) A performance evaluation study of RPL: routing protocol for low power and lossy networks, pp 1–6Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • N. Nithya Lakshmi
    • 1
    Email author
  • T. SatyaKishan
    • 2
  • K. RajaSekharam
    • 2
  • M. Hanmandlu
    • 1
  1. 1.MVSR Engineering CollegeHyderabadIndia
  2. 2.Defence Research and Development OrganizationNew DelhiIndia

Personalised recommendations