The Internet of Things (IoT) is a new technology that shows the potential of networking & computing. Wireless sensor networks (WSNs) frequently support IoT applications. The virtual and real worlds can be connected by means of wireless sensor networks. A WSN consists of nodes positioned in a sensing region to monitor various environmental parameters. Energy efficiency, data transmission, connectivity, privacy, stability, and network lifetime are just a few of their many research interests. A specialized transmitter built into the WSN improves IoT sensing capabilities. These networks frequently have issues with node batteries and energy-efficient routing methods. Cluster head election process and data transmission process are modified in this paper using bio-inspired schemes and energy-efficient clustering protocols. In terms of the no. of operating nodes and energy usage in network, the proposed protocol and current protocol have been compared. In these areas, proposed protocol has outperformed the others.

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Bio Inspired Approach for Cluster Head Selection to Improve Lifetime of WSN Assisted IOT Network

  • Priya,
  • Inderpal Singh,
  • Arun Kumar Rana,
  • Mohammad Rasmi Al-Mousa,
  • Jayant Giri,
  • Neeraj Sunheriya,
  • Rami Almatarneh

摘要

The Internet of Things (IoT) is a new technology that shows the potential of networking & computing. Wireless sensor networks (WSNs) frequently support IoT applications. The virtual and real worlds can be connected by means of wireless sensor networks. A WSN consists of nodes positioned in a sensing region to monitor various environmental parameters. Energy efficiency, data transmission, connectivity, privacy, stability, and network lifetime are just a few of their many research interests. A specialized transmitter built into the WSN improves IoT sensing capabilities. These networks frequently have issues with node batteries and energy-efficient routing methods. Cluster head election process and data transmission process are modified in this paper using bio-inspired schemes and energy-efficient clustering protocols. In terms of the no. of operating nodes and energy usage in network, the proposed protocol and current protocol have been compared. In these areas, proposed protocol has outperformed the others.