Opportunistic IoT Research Topics

Opportunistic IoT research topics are used in this research and it is interlinked with software, sensors and some other technologies. The IoT devices are now being used in many of the devices and it overcomes some previous technology by proposing this technology. Then in this research we offer the details related to this strategy to face the challenges.

  1. Define IOT

At the beginning of the research we see the explanation for IoT devices. It is a network of physically interconnected devices, items and sensors which are surrounded with technology and will send, collect and alter data through the internet. IoT utilizes data analysis and connectivity to enhance the decision-making, productivity and ease of use, also it raises secrecy and protection problems while managing the large amount of data these devices created. These devices will be anything from usual objects to refined machinery, linked with one another and with a central system to allow actual-time automation, monitoring and control of different domains like healthcare, agriculture, manufacturing and home automation.

  1. What is IOT?

Afterwards we look for an in-depth explanation for this proposed technique. It defines the network of physical objects things that are enclosed with software, sensors and other technologies for the intent of altering and linking data with other devices and systems through the internet.

  1. Where IOT used?

Next we discuss where to utilize these IoT technologies. It is used in different applications and sectors and it will enhance data-driven decision-making, automation and connectivity. With the improvement of technologies and the growing occurrence of continuity, IoT identifies the common use in a different kind of industry. Commonly IoT is more occurring in industries such as transportation, manufacturing and utilities which employ sensors and other IoT devices; it also has been used for business in the framework, agriculture sectors and home automation, administrating some of them towards the digital alterations. The capability to gather and to precede the data from networked devices is to transform our capacity to occupy with the outside world and make wise decisions.

  1. Why IOT technology proposed? , previous technology issues

Here we proposed the IoT technology to link the actual and digital worlds, permitting for more possible regions such as efficiency enhancements, automation, user experience and data-driven insights. To tackle the issues in this technology and to simulate a highly productive and collaborative global community, the IoT technology was enhanced and proposed. The major challenge is to build a system which will achieve this efficiency to identify the unauthorized node that is planned to tackle some challenges and features of opportunistic environments. It was proposed to overcome some problems but it is not limited to the following: Increased complexity, Lack of security, increased computational overhead and lack of security.

  1. Algorithms / protocols

Our proposed opportunistic IoT technology is proposed to overcome the difficulties or challenges in the existing research. The limitation in the existing research is handled by proposing the method namely Light-Weight Hidden Markov Model and Chaotic Bumble Bees Mating Optimization-Trust Sensing Model (LW-HMM-CBBMO-TSM).

  1. Comparative study / Analysis

We have given the comparison study or examining across the existing research and the recommended framework in this section. The major objective of this research is to perform intrusion detection to offer protection for the IoT networks. In comparison to the number of IoT users, the recommended research achieves the best in detection rate, accuracy, false alarm rate, precision, F1 score and recall were compared with this research.

  1. Simulation results / Parameters

In this research we have compared different performance metrics or parameters to come across the findings for this research. The findings of this research will be evaluated by comparing the following metrics such as Scalability, Accuracy, Time complexity, F1-score, Throughput, Sensitivity, Precision, specificity, recall and latency with the Number of users to enhance the best outcome for this research.

  1. Dataset LINKS / Important URL

Opportunistic IoT is utilized in this research and we overcome many existing technology issues. Here we provide some links to overview the explanations or descriptions of opportunistic IoT related queries:

  1. IOT Applications

Let’s see the applications to be used for this IoT technology, it is numerous and crosses numerous businesses and regions. This continuous connection between humans, data and machines means the IoT enhances, automates and reduces the process. Sensors, connected with artificial intelligence and connectivity, will have the possibility to make some systems more effective. It cuts the costs in regions which were historically not probable.

  1. Topology for IoT

Now we discuss the topology for these proposed IoT networks, it refers to the structure and association of the connected parts and elements that creates the IoT environment. On the basis of the needs, communication protocols, scalability and the kind of devices that are involved, IoT networks will have a different kind of topology.

  1. Environment for IoT

The environment to be employed for IoT networks has the possibility to have a serious effect on different industries and surroundings. It will include all of the various applications, domains and businesses where the IoT devices are employed to enhance information gathering, productivity, automate procedures and improve decision making for the cloud-IoT users.

  1. Simulation tools

In this research we utilize the software requirements as follows and the utilized software and simulations will give the best outcome for this research. The simulation tool or the developmental tool that was used for this proposed research is NS 3.26 with Python or above. Now the operating system to be used to execute this work is Ubuntu 16.04 LTS or above.

  1. Results

Our research proposes an opportunistic IoT research which is employed to preserve and secure the data. So we propose this by overcoming several previous technology issues by comparing the metrics with the existing methods and verify that our proposed one gives the best result among all. The simulation tool that is required for implementing the work is NS 3.26 with python or above.

Opportunistic IoT Research Ideas:

The succeeding are the topics that are relevant to the Opportunistic IoT based system and it gives the information or descriptions about these proposed systems like methods, techniques, applications, uses and other relevant data.

  1. Opportunistic Internet of Things (OIoT): Elucidating the Active Opportunities of Opportunistic Networks on the Way to IoT
  2. Contract-Theory-Based Incentive Design Mechanism for Opportunistic IoT Networks
  3. A Local Betweenness Centrality Based Forwarding Technique for Social Opportunistic IoT Networks
  4. Mobile Collectors for Opportunistic Internet of Things in Smart City Environment with Wireless Power Transfer
  5. Efficient path-sense transmission based on IoT system in opportunistic social networks
  6. An Efficient and Secure Data Forwarding Mechanism for Opportunistic IoT
  7. A social relationship-based energy efficient routing scheme for Opportunistic Internet of Things
  8. HiLSeR: Hierarchical learning-based sectionalised routing paradigm for pervasive communication and Resource efficiency in opportunistic IoT network
  9. Information transmission mode and IoT community reconstruction based on user influence in opportunistic social networks
  10. Novel data transmission technology based on complex IoT system in opportunistic social networks
  11. Incentivizing Opportunistic Data Collection for Time-Sensitive IoT Applications
  12. Congestion free opportunistic multipath routing load balancing scheme for Internet of Things (IoT)
  13. A Secure Epidemic Routing Using Blockchain in Opportunistic Internet of Things
  14. An Opportunistic Approach for Cloud Service-Based IoT Routing Framework Administering Data, Transaction, and Identity Security
  15. Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning
  16. Triad link prediction method based on the evolutionary analysis with IoT in opportunistic social networks
  17. An Intelligent cloud ecosystem for disaster response and management leveraging opportunistic IoT mesh networks
  18. Data Transmission Strategy Based on Node Motion Prediction IoT System in Opportunistic Social Networks
  19. Node Screening Method Based on Federated Learning with IoT in Opportunistic Social Networks
  20. Opportunistic admission and resource allocation for slicing enhanced IoT networks
  21. Opportunistic Multi-Modal User Authentication for Health-Tracking IoT Wearables
  22. MHADBOR: AI-Enabled Administrative-Distance-Based Opportunistic Load Balancing Scheme for an Agriculture Internet of Things Network
  23. A joint hybrid corona based opportunistic routing design with quasi mobile sink for IoT based wireless sensor network
  24. Data transmission scheme based on node model training and time division multiple access with IoT in opportunistic social networks
  25. An enhanced opportunistic rank-based parent node selection for sustainable & smart IoT networks
  26. Opportunistic Backscatter Communication Protocol Underlying Energy Harvesting IoT Networks
  27. Practical Latency Analysis of a Bluetooth 5 Decentralized IoT Opportunistic Edge Computing System for Low-Cost SBCs
  28. An Opportunistic Ensemble Learning Framework for Network Traffic Classification in IoT Environments
  29. Stand-Alone, Affordable IoT Satellite Terminals and Their Opportunistic Use for Rain Monitoring
  30. Stochastic learning for opportunistic peer-to-peer computation offloading in IoT edge computing
  31. An Opportunistic Vehicle-Based Task Assignment for IoT offloading
  32. Near-Optimal Opportunistic Spectrum Access in Cognitive Radio Networks in the 5G and IoT Era
  33. Improving the attribute retrieval on ABAC using opportunistic caches for Fog-Based IoT Networks
  34. Energy-Efficient Opportunistic Routing Algorithm for Post-Disaster Mine Internet of Things Networks
  35. ARO-RTP: Performance analysis of an energy efficient opportunistic routing for underwater IoT networks
  36. Efficient user-channel pairing with power-domain sum-rate maximization in opportunistic hybrid OFDMA-NOMA IoT systems
  37. A Low-Cost Solution for Smart-City Based on Public Bus Transportation System Using Opportunistic IoT
  38. Fairness-Based Resource Allocation for Multiple Weights Opportunistic Beamforming in Internet of Things Networks
  39. Jamming-Aware Simultaneous Multi-Channel Decisions for Opportunistic Access in Delay-Critical IoT-Based Sensor Networks
  40. A Novel Opportunistic Access Algorithm Based on GCN Network in Internet of Mobile Things
  41. Fuzzy Trust Based Secure Routing Protocol for Opportunistic Internet of Things
  42. Using multipath TCP and opportunistic routing in IoT network
  43. User Scheduling for Opportunistic Nonorthogonal Random Access in Finite Blocklength IoT Networks
  44. Application of fuzzy logic for IoT node elimination and selection in opportunistic networks: performance evaluation of two fuzzy-based systems
  45. Design and Implementation of Opportunistic Routing in WSN Using Multi-hop River Formation for IOT-Based Indoor Patient Smart Monitoring
  46. A Joint Opportunistic Energy Harvesting and Communication System Using VLC for Battery-Less PV-Equipped IoT
  47. Forwarding Factor Routing Protocol for Opportunistic Internet of Things Networks
  48. Forwarding Factor with Acknowledgement Routing Protocol for Opportunistic IoT Network
  49. Opportunistic Federation of CubeSat Constellations: A Game-Changing Paradigm Enabling Enhanced IoT Services in the Sky
  50. UAV-Assisted Opportunistic Beamforming in Internet of Things Networks