EERO: Energy Efficient Route Optimization Technique for IoT Network

Autor:	N. N. Srinidhi, S. M. Dilip Kumar, Dharamendra Chouhan, P. K. Udayaprasad, Sowmya T. Rao, J. Shreyas
Rok vydání:	2021
Předmět:	Battery (electricity) Transmission (telecommunications) Computer science Path (graph theory) Genetic algorithm Real-time computing Computer Science::Networking and Internet Architecture Energy consumption Routing (electronic design automation) Energy (signal processing) Efficient energy use
Zdroj:	Communications in Computer and Information Science ISBN: 9789811614828
DOI:	10.1007/978-981-16-1483-5_19
Popis:	In the real world, it is essential to establish efficient routes in the Internet of Things (IoT) since sensor nodes operate mainly on battery and have limited energy. In this paper, an energy efficient routing technique is proposed to select an optimal routing path from source to destination for the transmission of data. Genetic algorithm (GA) is an optimization technique which is integrated into the proposed work to select an optimal path among the available paths. Since the proposed method selects an optimal path from source cluster head to the sink, this reduces the energy consumption and improves the lifetime of network. The validity of the proposed algorithm is evaluated in MATLAB simulation tool and results generate superiority while considering parameters such as energy consumption, delay and number of rounds.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1c4565528ceb7ad8d474a172a5042204 https://doi.org/10.1007/978-981-16-1483-5_19 Zobrazit plný text záznamu