In the domain of Internet of Things (IoT), several research problems exist, which are significant to solve for fulfilling current technological requirements. For structuring your IoT-based thesis, it is important to develop a problem statement in an effective and brief manner. By considering various IoT-based research areas, we suggest a few instances of problem statements explicitly:

IoT Safety and Confidentiality

Problem Description:

Assuring the confidentiality and safety of data that are shared among IoT devices is considered as most significant due to the high implementation of these devices in several major domains such as business automation and healthcare. Recent IoT networks are at risk of various assaults like device personification, data violations, and illicit access, because these networks have inadequate powerful security architectures. In order to guarantee secure authentication and end-to-end encryption for resource-limited IoT devices, this thesis mainly focuses on the creation of lightweight security architecture.

IoT Protocol Enhancement

Problem Description:

Several previous IoT-based interaction protocols such as LoRaWAN, CoAP, and MQTT often generate impacts like latency and high packet loss because of their inabilities in dynamic network states. Specifically in extensive IoT placements, these inabilities have emerged, in which the handling of adaptive data rate and network congestion are examined as highly difficult. With the aim of reducing packet loss and latency in extensive IoT networks, this study concentrates on suggesting adaptive protocol enhancement architectures that are capable of adapting routing paths and data rates in a  dynamic manner.

Resource Handling in Fog Computing for IoT

Problem Description:

Mostly, the applications of IoT need data processing in actual-time with very less latency. But, through the use of cloud computing only, this requirement cannot be accomplished in an effective manner. By carrying computational resources nearer to the edge, fog computing offers an appropriate approach. Based on the dynamic and heterogeneous character of fog networks, efficient allocation of resources is still considered as a major difficulty. For planning missions and allocating resources dynamically on the basis of energy conditions and latency in fog computing platforms, this research aims to create a robust resource handling method.

IoT Data Analytics and Machine Learning

Problem Description:

IoT devices produce a wide range of time-series data that cause some specific issues in the process of anomaly identification because of their temporal relations and extensive size. Mostly, the conventional anomaly identification techniques confront difficulties in identifying tricky patterns and generate more false-positive rates. As a means to detect abnormalities in large-size IoT time-series data in a precise way, this study emphasizes the modeling of deep learning-related anomaly identification architecture which widely employs recurrent neural networks (RNNs) and autoencoders.

Interoperability and Standardization in IoT

Problem Description:

Major interoperability issues have evolved due to the diverse nature of data patterns, protocols, and IoT devices. Among IoT networks, it also constraints stable data sharing. The process of data exchange among devices through the utilization of various protocols gets obstructed, because the latest interoperability architecture does not have efficient protocol conversion techniques and robust data models. This study mainly focuses on suggesting a cross-protocol middleware architecture, which offers protocol conversion abilities and robust data models to facilitate stable interaction among heterogeneous IoT devices.

Industrial IoT and Predictive Maintenance

Problem Description:

For early fault identification, actual-time data analysis is needed by predictive maintenance systems in industrial IoT. Problems relevant to bandwidth expenses and latency will emerge while sending all sensor data to a centralized cloud server for the purpose of analysis. Modeling of fog computing-related predictive maintenance architecture is the major intention of this thesis, which carries out various important processes, such as preprocessing sensor data locally and detection of early fault metrics with the aid of machine learning. It also sends only essential data to the cloud for minimizing latency issues.

Smart Cities and Urban IoT Applications

Problem Description:

Wide ranges of heterogeneous data are produced by various smart city-based applications such as waste management, ecological tracking, and traffic handling, which need effective analysis in actual-time. To combine data from different sources in an efficient way, the latest IoT network does not have an adaptable and scalable framework. Particularly for smart cities, this project aims to recommend a hierarchical IoT network framework, which trains predictive models jointly through the use of federated learning while minimizing latency and assuring data confidentiality.

Energy Effectiveness in IoT Networks

Problem Description:

Specifically in extensive networks, the utilization of energy is a major consideration for battery-powered IoT devices. The issue of unwanted energy usage evolved, because of the contemporary interaction protocols that transfer the repeated data in general. This study concentrates on the creation of energy-effective data aggregation protocol, which adapts aggregation levels dynamically in terms of network states for enhancing network durability and reducing unwanted data sharing.

IoT-related Healthcare Applications

Problem Description:

In terms of patient wellness, remote patient tracking can offer important perceptions through the utilization of wearable IoT devices, but it is difficult to assure precise anomaly identification and data confidentiality. Mostly, the previous tracking system does not have precise predictive models for anomaly identification and efficient privacy-preserving approaches. For wearable health data collection, this project considers the development of privacy-preserving architecture. To detect the early indications of health breakdown, it also intends to create an anomaly identification framework with the support of federated learning.

Where can I publish my research paper on Internet of Things?

There are several conferences and journals appropriate for publishing Internet of Things (IoT)-based research papers. The major objectives and focus of your paper must align with the selected journals or conferences. For assisting you to publish research papers in the field of IoT, we list out numerous standard journals and conferences:

Standard Journals

  1. IEEE Internet of Things Journal (IEEE IoT-J):
  • Publisher: IEEE
  • Impact Factor: 238
  • Major concentration: It concentrates on IoT-based major factors such as applications, frameworks, data handling, and safety.
  • Submission Instructions
  1. IEEE Sensors Journal:
  • Publisher: IEEE
  • Impact Factor: 325
  • Major concentration: Various IoT-related applications, which encompass smart systems, wireless sensor networks, and sensors.
  • Submission Instructions
  1. IEEE Transactions on Industrial Informatics:
  • Publisher: IEEE
  • Impact Factor: 215
  • Major concentration: Application of IoT in predictive maintenance, smart manufacturing, and business automation.
  • Submission Instructions
  1. Elsevier Future Generation Computer Systems:
  • Publisher: Elsevier
  • Impact Factor:307
  • Major concentration: It includes fog computing, big data analytics, safety, and IoT framework.
  • Submission Instructions
  1. Elsevier Internet of Things Journal:
  • Publisher: Elsevier
  • Major concentration: Emphasizes all the important factors of IoT like edge computing, networking, applications, and protocols.
  • Submission Instructions
  1. Elsevier Ad Hoc Networks:
  • Publisher: Elsevier
  • Impact Factor:643
  • Major concentration: Mobile ad hoc networks, wireless sensor networks, and IoT networks are the significant aspects.
  • Submission Instructions
  1. Springer International Journal of Wireless Information Networks:
  • Publisher: Springer
  • Impact Factor:74
  • Major concentration: It encompasses IoT-based networking protocols, applications, and safety.
  • Submission Instructions
  1. ACM Transactions on Internet Technology:
  • Publisher: ACM
  • Impact Factor:741
  • Major concentration: IoT frameworks, safety, and protocols could be involved.
  • Submission Instructions
  1. MDPI Sensors:
  • Publisher: MDPI
  • Impact Factor: 847
  • Major concentration: It focuses on IoT sensor networks, applications, and safety.
  • Submission Instructions
  1. MDPI Future Internet:
  • Publisher: MDPI
  • Impact Factor:623
  • Major concentration: Cloud computing, big data analytics, and IoT networks are the important considerations.
  • Submission Instructions


  1. IEEE International Conference on Internet of Things (iThings):
  • Organizer: IEEE
  • Central Theme: Concentrates on IoT framework, data handling, safety, and applications.
  • Conference Website
  1. IEEE World Forum on Internet of Things (WF-IoT):
  • Organizer: IEEE
  • Central Theme: It encompasses evolving IoT mechanisms, business applications, and standardization.
  • Conference Website
  1. ACM International Conference on Internet of Things (IoT):
  • Organizer: ACM
  • Central Theme: Major factors include IoT protocols, applications, safety, and networking.
  • Conference Website
  1. International Conference on Internet of Things and Smart Cities (IoTSC):
  • Organizer: IEEE
  • Central Theme: IoT framework, smart city applications, and big data analytics are the crucial aspects.
  • Conference Website
  1. International Conference on Future Networks and Distributed Systems (ICFNDS):
  • Organizer: ACM
  • Central Theme: It involves cloud computing, distributed computing, and IoT networks.
  • Conference Website
  1. IEEE Global Internet of Things Summit (GIoTS):
  • Organizer: IEEE
  • Central Theme: Highlights IoT framework, networking, applications, and protocols.
  • Conference Website
  1. ACM International Conference on Embedded Wireless Systems and Networks (EWSN):
  • Organizer: ACM
  • Central Theme: It majorly considers wireless networks, energy handling, IoT protocols, and safety.
  • Conference Website
  1. European Conference on Networks and Communications (EuCNC):
  • Organizer: EuCNC/IEEE
  • Central Theme: 5G, IoT networking, safety, and cloud computing are the important concentrations.
  • Conference Website
  1. IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC):
  • Organizer: IEEE
  • Central Theme: Includes important aspects such as wireless networks, IoT networks, and safety.
  • Conference Website
  1. IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS):
  • Organizer: IEEE
  • Central Theme: It focuses on WSNs, distributed computing, machine learning, and IoT networks.
  • Conference Website

Thesis Topics On IOT

Dissertation Topics & Ideas On IOT

Looking for valuable Dissertation Topics & Ideas on IOT? Look no further! Explore the brilliant ideas our research prospect has curated below. We offer custom dissertation topics along with writing services to students of all levels. Simply drop us a message, and we’ll help elevate your career to new heights.

  1. Energy-efficient offloading and resource allocation for mobile edge computing enabled mission-critical internet-of-things systems
  2. Computation offloading to edge cloud and dynamically resource-sharing collaborators in Internet of Things
  3. Demonstrability of Narrowband Internet of Things technology in advanced metering infrastructure
  4. An access control model for the Internet of Things based on zero-knowledge token and blockchain
  5. An efficient pruning scheme of deep neural networks for Internet of Things applications
  6. Secure-MQTT: an efficient fuzzy logic-based approach to detect DoS attack in MQTT protocol for internet of things
  7. Exploring regulations and scope of the Internet of Things in contemporary companies: a first literature analysis
  8. Blockiotintelligence: A blockchain-enabled intelligent IoT architecture with artificial intelligence
  9. Comparison of IoT platform architectures: A field study based on a reference architecture
  10. The IoT electric business model: Using blockchain technology for the internet of things
  11. Distblocknet: A distributed blockchains-based secure sdn architecture for iot networks
  12. Internet of things (iot) security intelligence: a comprehensive overview, machine learning solutions and research directions
  13. Study on the structure of “Internet of Things (IOT)” business operation support platform
  14. An internet-of-things (IoT) network system for connected safety and health monitoring applications
  15. Towards multi-layer interoperability of heterogeneous IoT platforms: The INTER-IoT approach
  16. An extended review on internet of things (iot) and its promising applications
  17. Semantic web of things: an analysis of the application semantics for the iot moving towards the iot convergence
  18. IoT smart campus review and implementation of IoT applications into education process of university
  19. Network protocols, schemes, and mechanisms for internet of things (iot): Features, open challenges, and trends
  20. Internet of Things (IoT) operating systems support, networking technologies, applications, and challenges: A comparative review
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