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Target tracking based on approximate localization technique in deterministic directional passive sensor network

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Abstract

Outdoor localization of non-cooperative moving discrete target tracking is a demanding and challenging due to inherent constraints of “target tracking wireless sensor networks” such as battery capacity, processing capacity, memory capacity. Current methods use either an active sensor or perform additional processing of the data received from multiple passive sensor nodes that increases power consumption. The work presented here proposes approximate localization of non-cooperative moving target in large open secluded area with optimal power consumption and sufficient accuracy. Binary passive infrared (PIR) sensor is used, resulting in reduced power consumption by the sensor. In order to deal with sensor’s technical limitation, a node is developed using variable range binary PIR sensors which results in variable sensing sectors. Deterministic directional, spatial–temporal domain of network topology along with activation log of node and its sectors is mapped with a dynamic target motion trajectory, resulting in sufficiently accurate target localization. Simulation results of the algorithm for “position estimation of random direction linearly moving target with positive slope motion model” indicate significant tracking of target with sufficient accuracy and reduced sensing power compared to existing methods.

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Abbreviations

OTWSN:

Object tracking wireless sensor network

DPWSN:

Directional passive wireless sensor node

PIR:

Passive infrared sensor

PW:

Proposed work

PF:

Particle filter

BS:

Base station

EP:

Estimated position

TT:

Target trajectories

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Authors and Affiliations

  1. Computer Science and Engineering, ASET, Amity University, Mumbai, India

    Nilima Zade

  2. Electronics Engineering, PVPPCOE, University of Mumbai, Mumbai, India

    Shubhada Deshpande

  3. ISME School of Management, Mumbai, India

    R. Kamatchi Iyer

Authors
  1. Nilima Zade
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  2. Shubhada Deshpande
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  3. R. Kamatchi Iyer
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Correspondence to Nilima Zade.

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Zade, N., Deshpande, S. & Kamatchi Iyer, R. Target tracking based on approximate localization technique in deterministic directional passive sensor network. J Ambient Intell Human Comput 12, 10171–10181 (2021). https://doi.org/10.1007/s12652-020-02783-5

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  • DOI: https://doi.org/10.1007/s12652-020-02783-5

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