Abstract
A pivotal research problem in the field of wireless sensor network (WSN)-assisted Internet of Things (IoT) is to enhance the network lifetime. One of the prime concerns is reducing the energy consumption of IoT devices. A traditional approach to this solution is clustering the IoT devices and, within each cluster, a leader node called the cluster head is responsible for gathering data from member nodes and transmitting them to the base station (BS). Direct communication from the cluster head to the BS produces long edges that may lead to significant energy depletion. In this chapter, the authors propose a rendezvous point (RP)-based routing algorithm using the MultiObjective Genetic Algorithm to enhance the network lifetime. RPs collect data from the cluster head nodes and transmit them to the BS. Experimental results have revealed that the proposed algorithm outperforms the state-of-the-art in respect to scalability and energy efficiency. From the simulation results, it can also be concluded that the proposed technique not only enhances the network lifetime of the IoT system but also uniformly distributes the energy load in the IoT network. The statistical significance of the simulation results is also established.
Sign-in/Register to access full text options 
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 callMore From: Recent Trends in Computational Intelligence Enabled Research
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.
