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- W3206281837 abstract "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." @default.
- W3206281837 created "2021-10-25" @default.
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- W3206281837 date "2021-01-01" @default.
- W3206281837 modified "2023-09-26" @default.
- W3206281837 title "Energy efficient rendezvous point-based routing in wireless sensor network with mobile sink" @default.
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- W3206281837 doi "https://doi.org/10.1016/b978-0-12-822844-9.00014-1" @default.
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