EERO: Energy Efficient Route Optimization Technique for IoT Network

التفاصيل البيبلوغرافية
العنوان: EERO: Energy Efficient Route Optimization Technique for IoT Network
المؤلفون: N. N. Srinidhi, S. M. Dilip Kumar, Dharamendra Chouhan, P. K. Udayaprasad, Sowmya T. Rao, J. Shreyas
المصدر: Communications in Computer and Information Science ISBN: 9789811614828
بيانات النشر: Springer Singapore, 2021.
سنة النشر: 2021
مصطلحات موضوعية: 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
الوصف: 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.
DOI: 10.1007/978-981-16-1483-5_19
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::1c4565528ceb7ad8d474a172a5042204
https://doi.org/10.1007/978-981-16-1483-5_19
Rights: CLOSED
رقم الانضمام: edsair.doi...........1c4565528ceb7ad8d474a172a5042204
قاعدة البيانات: OpenAIRE
الوصف
DOI:10.1007/978-981-16-1483-5_19