An energy efficient optimal path selection technique for IoT using genetic algorithm | Zendy

J Shreyas | Zendy; Dharamendra Chouhan | Zendy; Sowmya T. Rao | Zendy; P.K. Udayaprasad | Zendy; N. N. Srinidhi | Zendy; Shishir Kumar | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

An energy efficient optimal path selection technique for IoT using genetic algorithm

Author(s) -

J Shreyas,

Dharamendra Chouhan,

Sowmya T. Rao,

P.K. Udayaprasad,

N. N. Srinidhi,

Shishir Kumar

Publication year - 2021

Publication title -

international journal of intelligent internet of things computing

Language(s) - English

Resource type - Journals

eISSN - 2631-7079

pISSN - 2631-7060

DOI - 10.1504/ijiitc.2021.115705

Subject(s) - computer science , energy consumption , fitness function , path (computing) , routing (electronic design automation) , multipath routing , efficient energy use , shortest path problem , genetic algorithm , mathematical optimization , energy (signal processing) , selection (genetic algorithm) , matlab , routing protocol , algorithm , computer network , link state routing protocol , engineering , mathematics , artificial intelligence , machine learning , graph , statistics , theoretical computer science , electrical engineering , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research