Search Results - (( things application optimization algorithm ) OR ( basic optimisation based algorithm ))

Refine Results
  1. 1
  2. 2

    A trust aware secure ant colony optimization based routing algorithm for Internet of Things by Sharmin, Afsah, Anwar, Farhat, Motakabber, S. M. A., Hassan Abdalla Hashim, Aisha

    Published 2023
    “…With the rapid spread of Internet of Things (IoT) systems enhancing the development of IoT applications, the issue of designing a secure routing algorithm for IoT, including reasonable trust management, has attracted more and more research attention. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  3. 3
  4. 4

    A Framework for Green Energy Resources Identification and Integration Supported by Real-Time Monitoring, Control, and Automation Applications by Far Chen, Jong

    Published 2025
    “…Hardware prototypes using Raspberry Pi and Industrial Internet of Things components were interfaced with SCADA systems to validate real-world applicability. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  5. 5
  6. 6

    Dynamic Task Offloading Algorithm for optimising IoT network quality of service in the Mobile-Fog-Cloud System by Nwogbaga, Nweso Emmanuel

    Published 2023
    “…Secondly, a hybrid Genetic Algorithm and Enhanced Inertia Weight Particle Swarm Optimization (GAEIWPSO) algorithm for optimal resource allocation to minimize the delay is proposed. …”
    Get full text
    Get full text
    Thesis
  7. 7
  8. 8

    Local search manoeuvres recruitment in the bees algorithm by Muhamad, Zaidi, Mahmuddin, Massudi, Nasrudin, Mohammad Faidzul, Sahran, Shahnorbanun

    Published 2011
    “…Swarm intelligence of honey bees had motivated many bioinspired based optimisation techniques. The Bees Algorithm (BA) was created specifically by mimicking the foraging behavior of foraging bees in searching for food sources.During the searching, the original BA ignores the possibilities of the recruits being lost during the flying.The BA algorithm can become closer to the nature foraging behavior of bees by taking account of this phenomenon.This paper proposes an enhanced BA which adds a neighbourhood search parameter which we called as the Local Search Manoeuvres (LSM) recruitment factor.The parameter controls the possibilities of a bee extends its neighbourhood searching area in certain direction.The aim of LSM recruitment is to decrease the number of searching iteration in solving optimization problems that have high dimensions.The experiment results on several benchmark functions show that the BA with LSM performs better compared to the one with basic recruitment.…”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  9. 9

    A dynamic replication aware load balanced scheduling for data grids in distributed environments of internet of things by Bakhshad, Said, Noor, Rafidah Md, Akhundzada, Adnan, Saba, Tanzila, Ahmedy, Ismail, Haroon, Faisal, Nazir, Babar

    Published 2018
    “…Moreover, it becomes even more challenging in the highly dynamic and distributed environment of the Internet of Things (IoT). Replication is considered a key optimization technique in data grids. …”
    Get full text
    Get full text
    Article
  10. 10

    Reliable Fuzzy-Based Multi-Path Routing Protocol Based on Whale Optimization Algorithm to Improve QOS in 5G Networks for IOMT Applications by Al-Mukhtar F.S., Jaaz Z.A., Hamad A.H.

    Published 2024
    “…The "Quality of Services (QoS)" in 5G-based IoMT is improved by the Reliable Fuzzy-based Multi-path routing system shown in this study. The Whale Optimization Algorithm (WOA) enhances the routing protocol performance. …”
    Article
  11. 11
  12. 12
  13. 13
  14. 14

    Efficient and scalable ant colony optimization based WSN routing protocol for IoT by Sharmin, Afsah, Anwar, Farhat, Motakabber, S. M. A.

    Published 2020
    “…For this reason, many intelligent systems have been utilized to design routing algorithms to handle the network's dynamic state. In this paper, an ant colony optimization (ACO) based WSN routing algorithm for IoT has been proposed and analyzed to enhance scalability, to accommodate node mobility and to minimize initialization delay for time critical applications in the context of IoT to find the optimal path of data transmission, improvising efficient IoT communications. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  15. 15
  16. 16

    Trust-based enhanced ACO algorithm for secure routing in IoT by Sharmin, Afsah, Motakabber, S M A, Hassan Abdalla Hashim, Aisha

    Published 2024
    “…There are security issues associated with the proliferation of IoT-connected devices, allowing IoT applications to evolve. In order to provide an energy-efficient and secure routing method for sensors deployed within a dynamic IoT network, this paper presents a trust-aware enhanced ant colony optimization (ACO)-based routing algorithm, incorporating a lightweight trust evaluation model. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  17. 17

    Unit commitment in power system using multi-agent evolutionary programming incorporating priority listing optimisation technique / Muhammad Nazree Che Othman by Che Othman, Muhammad Nazree

    Published 2013
    “…The search process then being refined using heuristic EP-based algorithm with multi-agent approach to produce the final solution. …”
    Get full text
    Get full text
    Thesis
  18. 18
  19. 19

    Optimization technique based on cluster head selection algorithm for 5G-enabled IoMT smart healthcare framework for industry by Jaaz Z.A., Ansari M.D., Josephng P.S., Gheni H.M.

    Published 2023
    “…5G mobile communication systems; Cluster analysis; Energy efficiency; Health care; Low power electronics; Medical applications; Network architecture; 'current; Cluster-head selections; Healthcare infrastructure; Internet of medical thing; Lower energies; Medical Devices; Optimization techniques; Selection algorithm; Wireless communications networks; WOWF-CHSA; Energy utilization…”
    Article
  20. 20