NOSS (novel optimal sleep scheduling) scheme for energy and data reliability optimisation in mobile cloud-assisted wireless sensor networks

• Published in: Journal of engineering (Stevenage, England) Vol. 2020; no. 2; pp. 63 - 72
• Main Authors: Siva Kumar, Ganesan, Ramaswamy, Kiran, Basha, Adam Raja, Hariprasath, Manohar
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01.02.2020; Wiley
• Subjects: cloud computing; digitised form; energy consumption; energy trade; improved fish swarm optimisation algorithm; MCC–WSN integration scheme; mobile cloud-assisted wireless sensor networks; mobile computing; mobile user; mobility problems; NOSS scheme; novel optimal sleep scheduling scheme; optimisation; partial priority-based decision-making algorithm; reliability optimisation; reliable data transmission; reliable energy-efficient way; scheduling; selective custom; selective optimal data; sensor node; Special Section: Evolution of Instrumentation and Electronics System Technologies in Smart Grid; wireless sensor networks; energy trade; selective optimal data; wireless sensor networks; novel optimal sleep scheduling scheme; reliable energy-efficient way; improved fish swarm optimisation algorithm; reliability optimisation; partial priority-based decision-making algorithm; optimisation; mobile computing; mobile user; mobility problems; NOSS scheme; scheduling; selective custom; digitised form; MCC–WSN integration scheme; cloud computing; reliable data transmission; energy consumption; mobile cloud-assisted wireless sensor networks; sensor node
• ISSN: 2051-3305; 2051-3305
• DOI: 10.1049/joe.2019.0786

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.