Quality of Information Analysis in WSN: An Application in BASN

  • Shamantha Rai BellipadyEmail author
  • Sweekriti M Shetty
  • Harisha Airbail
Original Research


Topology control deals with reducing the power consumption of WSN nodes by making use of quality of information parameters such as Received Signal Strength (RSSI) and Link Quality Indicator (LQI). This paper deals with Link Quality Estimation(LQE), which is a prominent criterion in designing a Topology Control aware higher layer routing protocol for WSN. An improved LQE is designed for the AODV routing protocol, which has been applied in Body Area Sensor Networks. Simulation study shows that the proposed estimator gives an enhanced performance in terms of packet delivery ratio and energy consumption. Empirical analysis using TelosB motes are carried out to estimate distance from RSSI measurements, using log normal path loss model. The experiments are performed both in the indoor and outdoor scenario and the amount of error deviation of the estimated distance is calculated. The root mean square of the distance error value obtained can be used as a threshold value in the distance noise model used in localization. Localized sensor nodes is widely used in BASN applications for mapping the exact user location and the routing of packets also will be more accurate.


Body area sensor networks (BASN) Wireless sensor networks (WSN) Link quality indicator (LQI) Received signal strength (RSSI) 



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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Shamantha Rai Bellipady
    • 1
    Email author
  • Sweekriti M Shetty
    • 1
  • Harisha Airbail
    • 1
  1. 1.Sahyadri College of Engineering and ManagementMangaloreIndia

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