Abstract

The advent of the automated technological revolution has enabled the Internet of Things to rejuvenate, revolutionize, and redeem the services of sensors. The recent development of microsensor devices is distributed in a real‐world terrestrial environment to sense various environmental changes. The energy consumption of the remotely deployed microsystems depends on its utilization efficiency. Improper utilization of sensor nodes’ heterogeneity could lead to uneven energy consumption and load imbalance across the network, which will degrade the performance of the network. The proposed heterogeneous energy and traffic aware (HETA) considers the key parameters such as delay, throughput, traffic load, energy consumption, and life span. The residual energy and a minimum distance between the base station and cluster members are taken into consideration for the cluster head selection. The probability of hitting data traffic has been utilized to analyse energy and traffic towards the base station. The role of the sensor node has been realized and priority‐based data forwarding are also proposed. As a result, the heterogeneous energy and traffic aware perform well in balancing traffic towards the base station, which is analysed in terms of maximum throughput and increase in a lifetime of heterogeneous energy networks more than 5000 rounds, and the algorithm outperforms 34.5% of nodes are alive with transmissible energy. The proposed research also endorses unequal clustering and minimum energy consumption. We have modeled our proposed research using various p‐type junctionless nanowire FET without doping injunctions. The materials used in this analysis were silicon (Si), germanium (Ge), indium phosphide (InP), gallium arsenide (GaAs), and Al(x)Ga(1−x)As. The dimensions of the p‐type cylindrical nanowire channel were 25 nm long and 10 nm in diameter.

Highlights

  • Academic Editor: Samson Jerold Samuel Chelladurai e advent of the automated technological revolution has enabled the Internet of ings to rejuvenate, revolutionize, and redeem the services of sensors. e recent development of microsensor devices is distributed in a real-world terrestrial environment to sense various environmental changes. e energy consumption of the remotely deployed microsystems depends on its utilization efficiency

  • Improper utilization of sensor nodes’ heterogeneity could lead to uneven energy consumption and load imbalance across the network, which will degrade the performance of the network. e proposed heterogeneous energy and traffic aware (HETA) considers the key parameters such as delay, throughput, traffic load, energy consumption, and life span. e residual energy and a minimum distance between the base station and cluster members are taken into consideration for the cluster head selection. e probability of hitting data traffic has been utilized to analyse energy and traffic towards the base station. e role of the sensor node has been realized and priority-based data forwarding are proposed

  • The heterogeneous energy and traffic aware perform well in balancing traffic towards the base station, which is analysed in terms of maximum throughput and increase in a lifetime of heterogeneous energy networks more than 5000 rounds, and the algorithm outperforms 34.5% of nodes are alive with transmissible energy. e proposed research endorses unequal clustering and minimum energy consumption

Read more

Summary

Research Article

Improper utilization of sensor nodes’ heterogeneity could lead to uneven energy consumption and load imbalance across the network, which will degrade the performance of the network. E probability of hitting data traffic has been utilized to analyse energy and traffic towards the base station. E role of the sensor node has been realized and priority-based data forwarding are proposed. The heterogeneous energy and traffic aware perform well in balancing traffic towards the base station, which is analysed in terms of maximum throughput and increase in a lifetime of heterogeneous energy networks more than 5000 rounds, and the algorithm outperforms 34.5% of nodes are alive with transmissible energy. Towards the smart living environment, wireless sensor network with multisourced Internet of things (IoT) has changed in many applications such as monitoring, surveillance, healthcare, automation, entertainment, and industry. Artificial intelligence, robotics, and pervasive computing all as a whole have built an interdisciplinary concept to overcome day-to-day challenges in a smart way

Advances in Materials Science and Engineering
Related Works
Non priority data a er the priority data forward
Number of CHs Number of CHs
Initial energy
Number of Nodes
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.