Quality of Service aware secure data transmission model for Internet of Things assisted wireless sensor networks

Abstract

Wireless sensor networks (WSNs) are the most critical networks in developing various Internet of Things (IoT) based applications. However, such intelligent devices have drawbacks for energy, memory, processing, and computation resources. In addition, achieving Quality of Service (QoS) with secure data transmission (DT) is a significant challenge for WSNs. This article proposes efficient IoT authentication and energy-aware safe DT models for achieving better QoS and security with lower energy consumption (EC) in WSNs. Initially, the network randomly deploys the sensor nodes (SNs) and performs the registration of the SNs with the base station (BS). Second, the Entropy-based Jaccard similarity induced fuzzy C-means clustering (EJS-FCM) model clusters the SNs based on the intrinsic qualities of nodes. Then the boosted grasshopper optimization algorithm (BGOA) selects the cluster heads (CHs) optimally by considering major fitness parameters such as communication distance, energy, and distance centroid. Following that, an Adler-32 hashing-based authentication scheme performs authentication of every IoT node deployed in the network to provide safer DT. After successful authentication, secure hash elliptical curve cryptography (SHECC) encrypts the data collected from the CHs by incorporating a hashing function both in encryption and decryption, enhancing the IoT data's security level. Finally, in a cloud server (CS), the decentralized blockchain (BC) stores the encrypted data and the authentication credentials of the IoT devices from the BS, which provide additional security to the network. The results of the presented model show its performance efficiency over existing approaches for energy efficiency (EE), QoS, and security.

An energy‐aware software fault detection system based on hierarchical rule approach for enhancing quality of service in internet of things‐enabled wireless sensor network

“…WSNs are generally incorporated into the IoT to track and monitor the condition of real-world things. [3][4][5] In recent decades, WSNs and data acquisition schemes have progressed rapidly with the IoT owing to various challenges and restrictions. Designing a high-performance WSN is the key factor that guarantees the completion of several sensing tasks.…”

“…Due to the growth of prevalent technologies and applications, IoT necessitates an enormous exuberant sensor network environment. WSNs are generally incorporated into the IoT to track and monitor the condition of real‐world things 3–5 . In recent decades, WSNs and data acquisition schemes have progressed rapidly with the IoT owing to various challenges and restrictions.…”

Red Kite Optimization Algorithm With Average Ensemble Model for Intrusion Detection for Secure IoT

“…The confusion takes place from the resemblance and difference of the 2 conditions [2]. It contains transmission capabilities, memory, and limited processing; both networks can be efficient for real-time applications like border region monitoring that requires round-the-clock surveillance [3]. Any sensors can fail or stop functioning in an insecure condition but human support could not have potential [4].…”

Wireless Sensor Node Authentication and Data Security Framework Using Machine Learning

“…Sensor nodes are present in adversarial environment such that the attackers can easily enter into the https://www.indjst.org/ network for capturing data from physical nodes. In most of the cases, the sensors may façade in any of the present node where every single sensor represents multiple sensor identities within the network (3) .…”