RESEARCH CHALLENGES IN IOT

Especially emphasizing on fields like cybersecurity, LoRaWAN and Raspberry Pi, we offer some promising capstone project concepts, research gaps and requirements based on the IoT (Internet of Things) domain. To detect gaps and optimize your thesis focus, these addressed concepts guide you efficiently:

Project Concepts

  1. LoRaWAN-based Smart Agriculture System:
  • Explanation: To observe temperature, rainfall, soil moisture and other environmental factors, develop a LoRaWAN-based smart agriculture system.
  • Potential Research Gaps/ Demands:
  • Specifically for durable data collection, it requires efficient power consumption.
  • As a means to decrease network traffic, enhance data transmission.
  • While including various sensors, it results in scalability concerns.
  1. IoT-based Medical Device Security Framework:
  • Explanation: For the purpose of protecting IoT-accessed biomedical devices, design a security model.
  • Potential Research Gaps/ Demands:
  • Illicit access to medical devices has to be identified.
  • Considering the resource-scarce devices, executions of lightweight encryption techniques are highly adaptable.
  • Regarding the multiple networks, implement secure communication protocols.
  1. Low-Power IoT Network for Smart Cities using LoRaWAN:
  • Explanation: In order to supervise ecological determinants, traffic and urban systems, execute a LPWAN (Low-Power Wide-Area Network).
  • Potential Research Gaps/ Demands:
  • Among coverage and energy usage, it should enhance the considerations.
  • In urban regions, carry out multi-user detection among several networks.
  • The key security problem of smart city IoT networks needs to be analyzed.
  1. IoT-based Predictive Maintenance System:
  • Explanation: Deploy edge devices to construct an IoT system and in an industrial environment, observe and anticipate predictive maintenance.
  • Potential Research Gaps/ Demands:
  • It is crucial to assure the data aggregation from multiple sensors.
  • On edge devices, develop machine learning models to perform.
  • From unauthenticated access, secure the data transmission.
  1. Blockchain-based IoT Device Identity Management:
  • Explanation: To verify and access IoT devices in a protective manner, create a blockchain-based identity management system.
  • Potential Research Gaps/ Demands:
  • Adaptability of the blockchain network is the major concern.
  • For IoT devices, it should create effective consensus techniques.
  • As regards sensitive IoT data, develop privacy-preserving technologies.
  1. Raspberry Pi-Based IoT Hub for Home Automation:
  • Explanation: Address and handle several IoT devices by modeling a Raspberry Pi-based home automation hub.
  • Potential Research Gaps/ Demands:
  • It is significant to develop a secure and ease-to-use communication protocol.
  • Especially for cloud-connected home automation systems, rectify the data privacy issues.
  • Synthesization with current smart home principles could be the key demands.

Probable Research Gaps

  1. Interoperability:
  • It results in disconnected IoT ecosystems, when there is a necessity for normalized communication protocol.
  • The process of synthesizing devices from various manufacturers might be risky.
  1. Scalability and Network Congestion:
  • While managing the expansive growth of devices, the existing IoT network protocols are not sufficiently capable.
  • Because of misused routing protocols, it leads to network traffic and response delay issues.
  1. Data Privacy and Security:
  • For resource-limited IoT devices, there is an inadequacy of lightweight encryption techniques.
  • In IoT communication protocols like LoRaWAN, CoAP and MQTT, it results in susceptibilities.
  1. Energy Efficiency:
  • Regarding the automated devices, there is a sufficient lack of energy-harvesting methods.
  • Primarily for durable implementation, the power management tactics are not capable enough.
  1. Edge Computing and Machine Learning:
  • On resource-limited edge devices, implementing the machine learning models could be difficult.
  • There is a necessity of models for edge processing and dependable data aggregation.

Research Issues

  1. Data Management:
  • In realistic scenarios, it seems tough to accumulate, gather and process huge amounts of IoT data.
  • For efficient data management, conduct a proper balance on cloud computing and device processing.
  1. Cybersecurity:
  • Over several networks, it might be complex to execute extensive security tactics for devices.
  • The key issue involves assuring the device reliability and protecting firmware updates.
  1. Network Design:
  • For the process of switching within the multiple modes such as broad bandwidth or low-power, creating the adaptable network protocols could be complicated.
  • Considering the LPWANs such as LoRaWAN, it is crucial to handle interruptions.
  1. IoT Device Discovery and Management:
  • To detect, record and handle frequently developing arrays of devices, seek to identify productive paths.
  1. IoT Governance:
  • Verify the reliability and ethical application of IoT mechanisms in formulating strategies and measures.
  • Manage the responsibility and accountancy of IoT data violations by developing effective models.

What are the challenges you have faced while developing IOT based projects?

 While conducting an IoT based project, you may address crucial challenges. To interpret the encompassed problems in IoT, we discuss some most common issues with related recommendation and feasible solutions:

  1. Interoperability and Synthesization:
  • Main Problem: Because of different measures and protocols, synthesizing devices from various manufacturers might be complex.
  • Significant Solution:
  • Open standards can be utilized such as HTTP, CoAP or MQTT.
  • To control various devices, apply middleware settings.
  • Through similar industry measures like LoRaWAN or Zigbee, select authentic devices.
  1. Network Connectivity:
  • Main Problem: In these demanding platforms such as industrial events or urban regions, it is difficult to preserve trustworthy network connections.
  • Significant Solution:
  • Particularly for long-distance communications, deploy LPWAN mechanisms such as NB-IoT or LoRaWAN.
  • For best coverage, execute mesh networks.
  • By integrating several wireless mechanisms, use hybrid networking protocols.
  1. Scalability Challenges:
  • Main Problem: It impacts problems in data processing and device management, as the IoT networks emerge frequently.
  • Significant Solution:
  • Scalable cloud environments with automated measuring characteristics should be employed.
  • Before uploading to the cloud, preprocess the data by utilizing edge computing.
  • Develop portable network management through SDN (Software-Defined Networking) measures.
  1. Security and Privacy Concerns:
  • Main Problem: Due to deficient safety protocols, IoT devices are commonly exposed to assaults.
  • Significant Solution:
  • For data transmission, adopt powerful encryption algorithms like SSL or TLS.
  • Enable the devices by executing multi-factor authorization.
  • In order to rectify security susceptibilities, upgrade firmware frequently.
  • Decrease the implications of harmful devices by partitioning the IoT networks.
  1. Power Management:
  • Main Problem: Specifically for battery-operated devices, it is difficult to retain the power capability.
  • Significant Solution:
  • To overcome this issue, make use of potential energy protocols such as Bluetooth Low energy or Zigbee.
  • Maintain power through establishing sleep modes for sensors.
  • It requires investigating energy-harvesting mechanisms like vibration and solar.
  1. Data Management and Analytics:
  • Main Problem: Large volumes of data which is created through IoT devices have to be managed.
  • Significant Solution:
  • Effective data compression methods could be employed.
  • Real-time data processing models such as Apache Flink and Apache Kafka are applied for better solutions.
  • As reflecting on adaptability and portability, utilize NoSQL databases.
  1. Firmware Updates:
  • Main Problem: The major challenge is securing the OTA (Over-The-Air) updates to IoT devices.
  • Significant Solution:
  • For OTA (Over-The-Air) upgrades, acquire the benefit of encrypted communication.
  • By means of ensuring reliability, verify the updates if it is signed properly.
  • Renovate the conventional firmware version by executing rollback technologies.
  1. Hardware Selection and Customization:
  • Main Problem: To address certain project necessities, identify appropriate hardware.
  • Significant Solution:
  • Initially, you have to begin with a flexible development toolbox such as Raspberry Pi or Arduino.
  • Deploy accessible modules like sensors, LoRa and Zigbee to modify hardware.
  • Before large-scale implementation, design a prototype with some hardware elements.
  1. Edge Computing Complexity:
  • Main Problem: At the edge, the machine learning models need to be implemented and controlled.
  • Significant Solution:
  • Specifically for integrated devices, apply advanced lightweight modules like TinyML.
  • For decentralized data processing, create effective models.
  • To decrease memory consumption, execute model quantization.
  1. Compliance and Regulation:
  • Main Problem: Across data secrecy and spectrum consumption, be aware of critical measures.
  • Significant Solution:
  • According to local data privacy rules such as CCPA, GDPR, verify if it adheres.
  • For wireless spectrum consumption, acquire the required access.
  • On the subject of industry-specific measures, be always updated.
  1. User Experience and Usability:
  • Main Problem: For IoT device management, it is very important to create smart user interfaces.
  • Significant Solution:
  • With the help of ease-to-use dashboards, develop web interfaces or mobile apps.
  • It is essential to offer extensive files and seminars.
  • Make use of characteristics such as troubleshooting and remote monitoring.

Research Challenges In IOT

RESEARCH TOPICS & IDEAS IN IOT

Explore innovative Research Topics & Ideas in IOT at phdprojects.org, where we have successfully executed over 8000 projects and supported scholars globally through online and offline platforms. Our services cater to doctoral candidates and master’s students, offering tailored consultation and guidance in alignment with their university requirements. Benefit from our team of top writers and developers who are dedicated to delivering high-quality thesis.

  1. A decentralized blockchain-based key management protocol for heterogeneous and dynamic IoT devices
  2. CVFP: Energy and trust aware data routing protocol based on Competitive Verse Flower Pollination algorithm in IoT
  3. Multi-radio and multi-hop LoRa communication architecture for large scale IoT deployment
  4. A management method of chronic diseases in the elderly based on IoT security environment
  5. Dual-server certificateless public key encryption with authorized equality test for outsourced IoT data
  6. A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network
  7. Comparative analysis of new meta-heuristic-variants for privacy preservation in wireless mobile adhoc networks for IoT applications
  8. An Evaluation of IoT Security Guidance Documents: A Shared Responsibility Perspective
  9. A survey of blockchain-based IoT eHealthcare: Applications, research issues, and challenges
  10. Design and implementation of solar-powered with IoT-Enabled portable irrigation system
  11. An optimized DEEC approach for efficient packet transmission in sensor based IoTs network
  12. Satellite IoT Based Road Extraction from VHR Images Through Superpixel-CNN Architecture
  13. Unraveling the multi-scalar and evolutionary forces of entrepreneurial ecosystems: A historical event analysis applied to IoT Valley
  14. Smart education system to improve the learning system with CBR based recommendation system using IoT
  15. Performance evaluation of the SRE and SBPG components of the IoT hardware platform security advisor framework
  16. LENTO: Unpredictable Latency-based continuous authEntication for Network inTensive IoT envirOnments
  17. Analyzing the use of internet of things (IoT) in artificial intelligence and its impact on business environment
  18. LightBlocks: A trusted lightweight signcryption and consensus scheme for industrial IoT ecosystems
  19. Average AoI minimization for data collection in UAV-enabled IoT backscatter communication systems with the finite blocklength regime
  20. Compact modular multiplier design for strong security capabilities in resource-limited Telehealth IoT devices