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Bio-Inspired Energy-Efficient Cluster-Based Routing Protocol for the IoT in Disaster Scenarios.

Shakil Ahmed1, Md Akbar Hossain2, Peter Han Joo Chong3

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Summary
This summary is machine-generated.

This study introduces a hybrid Butterfly Optimisation Algorithm (BOA) and Particle Swarm Optimisation (PSO) for Internet of Things (IoT) networks in disaster scenarios. The algorithm enhances energy efficiency and network lifetime by optimizing clustering and routing.

Keywords:
IoTWSNclustering protocolenergy efficiencyrouting protocol

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Area of Science:

  • Computer Science
  • Network Engineering
  • Artificial Intelligence

Background:

  • Internet of Things (IoT) devices are crucial for environmental sensing and disaster impact reduction but face energy constraints due to battery-operated sensors.
  • Efficient energy consumption, particularly during data transmission in disaster-prone areas, is critical for extending the operational life of IoT networks.
  • Clustering-based communication is a key strategy for reducing node energy depletion and enhancing network longevity.

Purpose of the Study:

  • To develop and evaluate a novel hybrid bio-inspired algorithm for optimizing energy efficiency and network lifetime in IoT networks for disaster management.
  • To address the limitations of existing clustering and routing protocols by incorporating disaster-relevant parameters like residual energy, distance to sink, and network coverage.

Main Methods:

  • Proposed a hybrid Butterfly Optimisation Algorithm (BOA) for clustering and Particle Swarm Optimisation (PSO) for routing in IoT networks.
  • Integrated key disaster-scenario parameters: node residual energy, distance to the sink, and network coverage into the clustering process.
  • Compared the performance of the proposed BOA-PSO algorithm against benchmark protocols (LEACH, DEEC, PSO, PSO-GA, PSO-HAS) using residual energy, throughput, and network lifetime as metrics.

Main Results:

  • The BOA-PSO algorithm demonstrated significant residual energy conservation, showing over 17% improvement in short-range and 10% in long-range scenarios.
  • Achieved substantial throughput enhancements: 60% over LEACH, 53% over DEEC, and 37% over PSO.
  • Reduced packet drops by 60% compared to LEACH and DEEC, and 30% compared to PSO, while increasing overall network lifetime by 10-20%.

Conclusions:

  • The hybrid BOA-PSO algorithm offers superior energy efficiency and extended network lifetime for IoT applications in disaster management.
  • The proposed approach effectively optimizes clustering and routing by considering critical parameters relevant to disaster environments.
  • This research provides a robust solution for enhancing the reliability and performance of IoT networks during critical disaster response operations.