The Experts below are selected from a list of 6 Experts worldwide ranked by ideXlab platform

Pabitra Mohan Khilar - One of the best experts on this subject based on the ideXlab platform.

  • A Range Free Geometric Technique for Localization of Wireless Sensor Network (WSN) Based on Controlled Communication Range
    Wireless Personal Communications, 2017
    Co-Authors: Munesh Singh, Pabitra Mohan Khilar
    Abstract:

    The current restricted area based range free localization schemes use various geometric shapes such as triangle, rectangle, and circle to determine the residence area of the sensor node. Then this residence area is used to localize the sensor node. However, the existing work requires higher density of anchor deployment to gain the acceptable accuracy of position estimation. In this paper, we overcome the density dependent accuracy of localization by proposing a new localization scheme called geometric anchor beacon (GAB). The proposed scheme is based on analytical geometry of an arc. In the proposed scheme, the $$Cramers \ Rule$$ C r a m e r s r u l e is used, where the intersecting point of two perpendicular bisectors of the chords is taken as the estimated position of the sensor node. Simulation results show that, GAB shows less estimation error than any other range-free localization schemes such as CAB, Centroid, Convex, and APIT.

  • Mobile beacon based range free localization method for wireless sensor networks
    Wireless Networks, 2017
    Co-Authors: Munesh Singh, Pabitra Mohan Khilar
    Abstract:

    The existing mobile beacon based range free localization method has two basic problems: (1) the accuracy of position estimation depends on closer beacon broadcasting intervals and (2) varying radio propagation irregularity has a major impact on the localization accuracy. In this paper, we overcome these two problems by proposing a mobile beacon (MOB) based range free localization method for wireless sensor networks, which is based on analytical geometry of an arc. In this scheme, Cramers Rule is used, where the intersection point of two perpendicular bisectors of the chords is taken as the estimated position of the sensor node. Simulation results show that our proposed scheme performs better than the existing range free localization algorithms.

Munesh Singh - One of the best experts on this subject based on the ideXlab platform.

  • A Range Free Geometric Technique for Localization of Wireless Sensor Network (WSN) Based on Controlled Communication Range
    Wireless Personal Communications, 2017
    Co-Authors: Munesh Singh, Pabitra Mohan Khilar
    Abstract:

    The current restricted area based range free localization schemes use various geometric shapes such as triangle, rectangle, and circle to determine the residence area of the sensor node. Then this residence area is used to localize the sensor node. However, the existing work requires higher density of anchor deployment to gain the acceptable accuracy of position estimation. In this paper, we overcome the density dependent accuracy of localization by proposing a new localization scheme called geometric anchor beacon (GAB). The proposed scheme is based on analytical geometry of an arc. In the proposed scheme, the $$Cramers \ Rule$$ C r a m e r s r u l e is used, where the intersecting point of two perpendicular bisectors of the chords is taken as the estimated position of the sensor node. Simulation results show that, GAB shows less estimation error than any other range-free localization schemes such as CAB, Centroid, Convex, and APIT.

  • Mobile beacon based range free localization method for wireless sensor networks
    Wireless Networks, 2017
    Co-Authors: Munesh Singh, Pabitra Mohan Khilar
    Abstract:

    The existing mobile beacon based range free localization method has two basic problems: (1) the accuracy of position estimation depends on closer beacon broadcasting intervals and (2) varying radio propagation irregularity has a major impact on the localization accuracy. In this paper, we overcome these two problems by proposing a mobile beacon (MOB) based range free localization method for wireless sensor networks, which is based on analytical geometry of an arc. In this scheme, Cramers Rule is used, where the intersection point of two perpendicular bisectors of the chords is taken as the estimated position of the sensor node. Simulation results show that our proposed scheme performs better than the existing range free localization algorithms.