Optimizing Secure Routing in IoT-WSN Networks Using Improved Grey Wolf Optimization

Problem Definition

The domain of trust management in IoT-WSNs has been a focal point of research in recent years, with a significant emphasis on enhancing security measures. However, a prevalent issue within the existing literature is the lack of consideration for opportunistic routing strategies, which could potentially improve the overall efficiency of data transmission. This gap in traditional approaches highlights the need for a new optimization and trust-based secure routing protocol to address the limitations of current models. By proposing a novel protocol that integrates both optimization techniques and trust-based mechanisms, this paper aims to fill the existing gaps in the field of IoT-WSNs security. Through the utilization of comprehensive simulations, the effectiveness and superiority of the proposed protocol will be evaluated in comparison to traditional approaches.

By conducting a thorough analysis and contrast of the efficiency of our model, this research seeks to demonstrate the potential of achieving secure and efficient data transmission in IoT-WSNs.

Objective

The objective of this research is to develop a novel routing protocol for IoT-WSNs that integrates optimization techniques and trust-based mechanisms to enhance security and efficiency in data transmission. The proposed protocol aims to address the limitations of traditional approaches by considering opportunistic routing strategies and conducting comprehensive simulations to evaluate its effectiveness. By focusing on network initialization, trust computations, and optimization-based secure route selection, the research aims to demonstrate the potential for achieving secure and efficient data transmission in IoT-WSNs.

Proposed Work

In this research, we propose a new and effective routing approach based on optimization techniques to overcome the limitations of traditional routing protocols in ensuring secure data transmission in wireless sensor networks (WSNs). The proposed model consists of several phases: network initialization, trust computations, and optimization-based secure route selection. Before implementing the proposed protocol in the IoT-WSN environment, we make several assumptions. During network initialization, sensor nodes are scattered across the application region to provide comprehensive coverage. Computational aspects such as processing speed, power consumption, and buffer size are assumed to be stable and consistent throughout the network.

However, we acknowledge that some nodes may provide unreliable information due to factors such as self-centeredness or excessive workload. Lastly, we consider the possibility of attacks by malicious nodes, such as grey-hole or black-hole attacks, on the sensor network. In the trust computation phase, the trust value of each node registered in the Forwarder Set (FS) is calculated. We employ beta distribution and Intrusion Detection System (IDS) [25] evaluation to assess the trustworthiness of nodes taking into account the likelihood of malicious behavior. Based on the trust values, route selection considers individual node trust, energy levels, and connection requests.

These parameters are evaluated, and weightage is assigned to determine their relative importance in the route selection process. To optimize the model's performance, we utilize the Improved Grey Wolf Optimization (IGWO) algorithm. This algorithm is known for its high convergence rate and ability to avoid local minima. By applying the IGWO algorithm, we can efficiently determine the optimal weightage values for the model. This optimization process enables us to select a secure and efficient route for data transmission.

Application Area for Industry

This project's proposed solutions can be applied across various industrial sectors such as healthcare, agriculture, smart cities, and industrial automation. In the healthcare sector, the trust-based secure routing protocol can ensure the secure transfer of sensitive patient data between medical devices in IoT-WSNs, protecting patient privacy and preventing unauthorized access. In agriculture, the protocol can facilitate data exchange between sensors monitoring soil conditions, weather patterns, and crop growth, enabling farmers to make informed decisions and optimize crop yield. In smart cities, the protocol can enhance the security of data transmitted between sensors in traffic management systems, street lighting systems, and waste management systems, improving overall operational efficiency and reducing potential cyber threats. Lastly, in industrial automation, the protocol can secure communication between sensors in manufacturing plants, ensuring continuous production processes and preventing disruptions due to cyberattacks.

Implementing these solutions can address challenges such as data breaches, unauthorized access, and network congestion, leading to increased reliability, efficiency, and security in various industrial domains.

Application Area for Academics

The proposed project can significantly enrich academic research, education, and training in the field of IoT-WSNs by introducing a novel optimization and trust-based secure routing protocol. This project addresses the limitations of traditional models by incorporating opportunistic routing strategies, which have been often neglected in existing approaches. By analyzing and contrasting the efficiency of the proposed protocol with traditional methods through comprehensive simulations, researchers, MTech students, and PHD scholars can gain insights into the superiority and effectiveness of the new model in achieving secure and efficient data transmission in IoT-WSNs. The relevance of this project lies in its application towards innovative research methods, simulations, and data analysis within educational settings. By implementing the proposed routing approach based on optimization techniques, users can explore the potential advancements in ensuring secure data transmission in wireless sensor networks.

The integration of network initialization, trust computations, and optimization-based secure route selection phases offers a holistic approach towards enhancing security in IoT-WSNs. Specific technology covered in this project includes the Improved Grey Wolf Optimization (IGWO) algorithm, known for its high convergence rate and ability to avoid local minima. Researchers and students can utilize the code and literature of this project to further their work in trust management techniques, optimization algorithms, and secure routing protocols in IoT-WSNs. By leveraging this project's findings, individuals can explore new avenues for enhancing network security and efficiency through advanced algorithms and methodologies. In conclusion, this project provides a valuable resource for academic research, education, and training by introducing a novel approach to secure data transmission in IoT-WSNs.

The proposed protocol's potential applications in pursuing innovative research methods, simulations, and data analysis can offer significant contributions to the field of wireless sensor networks. Researchers, MTech students, and PHD scholars can benefit from the code and literature of this project to advance their work in trust management techniques and optimization algorithms. The future scope of this project includes further exploration of trust-based routing strategies and optimization techniques to enhance the security and efficiency of IoT-WSNs.

Algorithms Used

The proposed model in this research utilizes the Improved Grey Wolf Optimization (IGWO) algorithm to enhance the routing approach in wireless sensor networks (WSNs) for secure data transmission. The IGWO algorithm is chosen for its high convergence rate and ability to avoid local minima. By applying the IGWO algorithm, the model can efficiently determine the optimal weightage values, contributing to the selection of a secure and efficient route for data transmission. The algorithm plays a crucial role in the optimization-based secure route selection phase of the proposed model, thereby improving accuracy and efficiency in achieving the project's objectives of ensuring secure data transmission in IoT-WSN environments.

Keywords

SEO-optimized keywords: trust management, opportunistic routing, secure routing protocol, IoT-WSNs, optimization techniques, wireless sensor networks, secure data transmission, novel protocol, traditional routing protocols, network initialization, trust computation, secure route selection, sensor nodes, network coverage, processing speed, power consumption, buffer size, unreliable information, malicious nodes, grey-hole attacks, black-hole attacks, trust computation phase, Forwarder Set, beta distribution, Intrusion Detection System, node trust, energy levels, connection requests, weightage assignment, route selection process, Improved Grey Wolf Optimization algorithm, convergence rate, local minima avoidance, optimal weightage values, data transmission.

SEO Tags

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