A Blockchain-Based Approach for Optimal and Secure Routing in Wireless Sensor Networks and IoT

Lazrag, Hilmi; Chehri, Abdellah; Saadane, Rachid; Rahmani, Moulay Driss

doi:10.1109/sitis.2019.00072

Cited by 24 publications

(8 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To be specific, certain nodes transfer a message from one source to BS and its ownership get influenced by the source node. Initially, each node possesses a BS and all the nodes possess BS which are deliberated as inactive [24]. In other terms, each node does not possess an active BS.…”

Section: Blockchain Design As a Shared Memory Schemementioning

confidence: 99%

Blockchain Enabled Metaheuristic Cluster Based Routing Model for Wireless Networks

Bhavadharini¹,

Karthik²

2023

Computer Systems Science and Engineering

View full text Add to dashboard Cite

With recent advancements made in wireless communication techniques, wireless sensors have become an essential component in both data collection as well as tracking applications. Wireless Sensor Network (WSN) is an integral part of Internet of Things (IoT) and it encounters different kinds of security issues. Blockchain is designed as a game changer for highly secure and effective digital society. So, the current research paper focuses on the design of Metaheuristicbased Clustering with Routing Protocol for Blockchain-enabled WSN abbreviated as MCRP-BWSN. The proposed MCRP-BWSN technique aims at deriving a shared memory scheme using blockchain technology and determine the optimal paths to reach the destination in clustered WSN. In MCRP-BWSN technique, Chimp Optimization Algorithm (COA)-based clustering technique is designed to elect a proper set of Cluster Heads (CHs) and organize the selected clusters. In addition, Horse Optimization Algorithm (HOA)-based routing technique is also presented to optimally select the routes based on fitness function. Besides, HOAbased routing technique utilizes blockchain technology to avail the shared memory among nodes in the network. Sensor nodes are treated as coins whereas the ownership handles the sensor nodes and Base Station (BS). In order to validate the enhanced performance of the proposed MCRP-BWSN technique, a wide range of simulations was conducted and the results were examined under different measures. Based on the performance exhibited in simulation outcomes, the proposed MCRP-BWSN technique has been established as a promising candidate over other existing techniques.

show abstract

Section: Blockchain Design As a Shared Memory Schemementioning

confidence: 99%

Blockchain Enabled Metaheuristic Cluster Based Routing Model for Wireless Networks

Bhavadharini¹,

Karthik²

2023

Computer Systems Science and Engineering

View full text Add to dashboard Cite

show abstract

“…However, the authors note that due to the local storage and power of the sensor nodes, blockchain in WSNs may never turn into a reality. On the other hand, Lazrag et al [153] suggested a routing protocol based on a blockchain framework and traffic load balancing technique that also reduces interference in WSNs and IoT. It is assumed that the network nodes sense several events, creating massive information that is, of necessity, held over many packets.…”

Section: Comparisons With Previous Published Workmentioning

confidence: 99%

Blockchain-Based Wireless Sensor Networks for Malicious Node Detection: A Survey

et al. 2021

View full text Add to dashboard Cite

Wireless Sensor Networks (WSNs) are broadly applied for various applications in tracking and surveillance due to their ease of use and other distinctive characteristics compelled by real-time cooperation among the sensor nodes. In WSNs, security is becoming a critical issue, as the techniques for malicious node detection adopt a one-time, centralized decision-making approach. With this paradigm, errors are difficult to avoid, and reproducibility and traceability are challenging. Hence, malicious node discovery technologies in conventional WSNs cannot assure traceability and fairness of the detection method. Herein, this paper discusses an in-depth survey of a blockchain-based approach for malicious node detection, an exhaustive examination of the integration of blockchain techniques with WSNs (BWSN), and insights into this novel concept. This survey discusses the architecture, sector-wise applications, and uses of BWSN. Moreover, this survey describes malicious node detection based on BWSN in two parts: 1) the BWSN architecture for detecting the malicious nodes and 2) the smart contract aspects in malicious node detection. Next, this survey explains the contributions of blockchain for WSN data management, which involves online information aggregation and may include auditing, event logs, and storage for information analysis and offline query processing. This survey first presents the conventional WSN solutions then the blockchain-based WSN solutions for data management. Additionally, this survey discusses the contributions of blockchain for WSN security management. It first examines the centralized WSN models for security problems, followed by a discussion of the blockchain-based WSN solutions for security management, such as offering access control, preserving information integrity, guaranteeing privacy, and ensuring WSNs' node longevity.

show abstract

“…Nodes commonly use wireless communication and are easily attacked by enemies, especially if heard. Therefore, all sent messages must be encrypted [6].…”

Section: Introductionmentioning

confidence: 99%

Trusted Cluster-Based Communication for Wireless Sensor Network Using Meta-Heuristic Algorithms

Sharma¹,

Modani²

2023

Computer Systems Science and Engineering

View full text Add to dashboard Cite

The mobile transient and sensor network's routing algorithm detects available multi-hop paths between source and destination nodes. However, some methods are not as reliable or trustworthy as expected. Therefore, finding a reliable method is an important factor in improving communication security. For further enhancement of protected communication, we suggest a trust cluster based secure routing (TCSR) framework for wireless sensor network (WSN) using optimization algorithms. First, we introduce an efficient cluster formation using a modified tug of war optimization (MTWO) algorithm, which provides loadbalanced clusters for energy-efficient data transmission. Second, we illustrate the optimal head selection using multiple design constraints received signal strength, congestion rate, data loss rate, and throughput of the node. Those parameters are optimized by a butterfly optimal deep neural network (BO-DNN), which provides first-level security towards the selection of the best head node. Third, we utilize the lightweight signcryption to encrypt the data between two nodes during data transmission, which provides second-level security. The model provides an estimation of the trust level of each route to help a source node to select the most secure one. The nodes of the network improve reliability and security by maintaining the reliability component. Simulation results showed that the proposed scheme achieved 45.6% of delivery ratio.

show abstract

A Blockchain-Based Approach for Optimal and Secure Routing in Wireless Sensor Networks and IoT

Cited by 24 publications

References 9 publications

Blockchain Enabled Metaheuristic Cluster Based Routing Model for Wireless Networks

Blockchain Enabled Metaheuristic Cluster Based Routing Model for Wireless Networks

Blockchain-Based Wireless Sensor Networks for Malicious Node Detection: A Survey

Trusted Cluster-Based Communication for Wireless Sensor Network Using Meta-Heuristic Algorithms

Contact Info

Product

Resources

About