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RAPCOL: a range-free power efficient cooperative localization with heterogeneous devices for industrial internet-of-things

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Abstract

Industrial applications and automation controls are closely connected with heterogeneous Wireless Sensor Network (WSN); thus, Industrial Internet-of Thing (IIoT) enhances the productivity, scalability, and flexibility of the operations. However, in many cases such as tracking a device or service localization becomes very crucial to state back the operations at times. Existing literature show a various localization solutions, but they face the drawbacks of high energy consumption, and non-coherence in heterogeneity. Besides, in a WSN-based IIoT, non-cooperativeness exists among nodes due to various system and environmental parameters, which make the system resource-exhaustive. In this paper, we introduce a novel localization algorithm that addresses the above-mentioned problems. We call our proposed algorithm RAnge-free Power efficient COoperative Localization (RAPCOL). Specifically, the use of co-operative beacon nodes to broadcast the information to Base Station and low energy consumption highlights the novelty of the work. RAPCOL uses weight metrics for selecting optimal cooperative beacon nodes to prolong the network lifetime. We also introduce an Improvised Particle Swarm Optimization (IPSO) that credits in the contribution in RAPCOL. We run a overall nine sets of experiments to analyze the localization accuracy, effect of beacon nodes, sensor nodes, network connectivity, and sensing field, error frequency, residual energy, time, and network lifetime. A comparative study with the existing localization models shows that RAPCOL is \(30\%\) better than the existing models in terms of accuracy and resource consumption. We observe stable performance of RAPCOL with a differentiated effect of beacon nodes and sensor nodes. We also observe that our proposed IPSO \(20\%\) better in fast convergence to the optimal solution. Though RAPCOL localization time is \(12\%\) higher than other existing protocols, RAPCOL’s accuracy and energy saving mechanism make it efficient for IIoTs.

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Authors and Affiliations

  1. School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, 144401, Punjab, India

    Rekha Goyat

  2. School of Computer Science and Engineering, Lovely Professional University, Phagwara, 144401, Punjab, India

    Gulshan Kumar & Rahul Saha

  3. Department of Mathematics, University of Padua, Via Trieste 63, Padova, 35121, Italy

    Gulshan Kumar, Rahul Saha & Mauro Conti

  4. School of Chemical Engineering and Physical Sciences, Lovely Professional University, Phagwara, 144401, Punjab, India

    Reji Thomas

  5. Yeosu Campus, Chonnam National University, 50, Daehak-ro, 59626, Yeosu-si, Jeollanam-do, Republic of Korea

    Tai-hoon Kim

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  1. Rekha Goyat
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Contributions

RG: Idea generation, algorithm development, manuscript writing. GK: Idea generation, algorithm development, Implementation. RS: Supervision of the work, algorithm feasibility study. MC: Supervision of the work, algorithm feasibility study. RT: Supervision and Proof Reading. TK: Supervision and result interpretation and analysis

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Correspondence to Gulshan Kumar.

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Goyat, R., Kumar, G., Saha, R. et al. RAPCOL: a range-free power efficient cooperative localization with heterogeneous devices for industrial internet-of-things. Cluster Comput (2023). https://doi.org/10.1007/s10586-023-04106-7

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