Open AccessNOSS (novel optimal sleep scheduling) scheme for energy and data reliability optimisation in mobile cloud‐assisted wireless sensor networks
Author(s) -
Siva Kumar Ganesan,
Ramaswamy Kiran,
Basha Adam Raja,
Hariprasath Manohar
Publication year - 2020
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0786
Subject(s) - computer science , wireless sensor network , energy consumption , scalability , data transmission , robustness (evolution) , cloud computing , reliability (semiconductor) , distributed computing , scheduling (production processes) , real time computing , efficient energy use , computer network , mathematical optimization , engineering , database , biochemistry , chemistry , power (physics) , physics , mathematics , quantum mechanics , electrical engineering , gene , operating system
MCC is one of the best opportunities to provide reliable data transmission to the users in mobility through integration with wireless sensor networks (WSNs), and this integration of MCC–WSN enables the mobile user to receive all communication in the digitised form. Many researchers proposed the MCC–WSN integration scheme to concentrate on the delay and energy trade‐off instead of a novel optimal sleep scheduling (NOSS) scheme proposed for energy and reliability optimisation and it has three‐fold uses in implementation: (i) a selective optimal data forward method used to forward the gathered data in selective custom, which maximises the data reliability; (ii) an improved fish swarm optimisation algorithm is used to compute the awake or asleep status of each sensor node, which minimises the energy consumption; (iii) a partial priority‐based decision‐making algorithm is used to compute the best request received from the user among multiple requests. In addition, the NOSS scheme would gather and forward data in a more reliable, energy‐efficient way without affecting the scalability with robustness in comparison with the existing schemes. Simulation results demonstrate the effectiveness of the proposed NOSS scheme in enhancing the usefulness of energy consumption and data reliability of WSNs.