A Novel and Comprehensive Trust Estimation Clustering Based Approach for Large Scale Wireless Sensor Networks

Abstract

With the wide applications of wireless sensor networks (WSNs) in various fields, such as environment monitoring, battlefield surveillance, healthcare, and intrusion detection, trust establishment among sensor nodes becomes a vital requirement to improve security, reliability, and successful cooperation. The existing trust management approaches for large-scale WSN are failed due to their low dependability (i.e., cooperation), higher communication, and memory overheads (i.e., resource inefficient). In this paper, we propose a novel and comprehensive trust estimation approach (LTS) for large-scale WSN that employs clustering to improve cooperation, trustworthiness, and security by detecting malicious (faulty or selfish) sensor nodes with reduced resource (memory and power) consumption. The proposed scheme (LTS) operates on two levels, namely, intra-cluster and inter-cluster along with distributed approach and centralized approach, respectively, to make accurate trust decision of sensor nodes with minimum overheads. LTS consists of unique features, such as robust trust estimation function, attack resistant, and efficient trust aggregation at the cluster, head to obtain the global feedback trust value. Data trust along with communication trust plays a significant role to cope with malicious nodes. In LTS, punishment and trust severity can be tuned according to the application requirement, which makes it an innovative LTS. Moreover, dishonest recommendations (outliers) are eliminated before aggregation at the base station by observing the statistical dispersion. The theoretical and mathematical validations along with simulation results exhibit the great performance of our proposed approach in terms of trust evaluation cost, prevention, and detection of malicious nodes as well as communication overhead.INDEX TERMS Trust management, data trust, communication trust, attack mitigation.

A comprehensive study on key management, authentication and trust management techniques in wireless sensor networks

“…Khan et al [71] proposed a trust estimate method for a bulky sensor network. WSN retain grouping to recover cooperativeness, honesty, and security by detecting faulty nodes and reduce resource consumption.…”

A Semantic-Based Belief Network Construction Approach in IoT

“…However, the system performance is limited with ETRES, which may decrease the security level. For large-scale wireless sensor networks, Ref [ 23 ] proposed a novel trust estimation approach with clustering to improve cooperation, trustworthiness, and security with less memory and power consumption. The design of two levels of clusters makes the minimum overheads.…”

Design and Realizations of Networked Estimators: A Descriptor Model Approach

“…where denotes the Hadamard product. In this paper, the variables and constants involved in each subsystem (5) are represented by the same fixed-point scheme with the same β bits for the fraction part. Assuming that all uncertainties |∆ ij | also have the common bound 2 −(β+1) , and it can be obtained that…”

“…The problem under consideration can be paraphrased as finding an appropriate equivalent realization for (5) which is resilient to FWL effects using the fixed-point representation and designing the corresponding estimator gain to guarantee the estimator's stability, which is summarized as the following Problem 1. Problem 1: For given word length β for the coefficients' representation and network X with internal time delay τ ij , i, j = 1, 2, • • • ,n, find an appropriate realization for system (5) and design the estimator to be stable after implementation.…”

“…R ECENT advances in decentralized computing and wireless communication technology cause increasingly decentralized implementation of practical applications, and many studies have focused on networked systems [1]- [3]. Such implementation schemes are generally motivated by the following constraints: 1) the plant is spread over a large space, requiring the controller or filter to be implemented with the same structure [4], [5]; 2) the control or filtering problem requires significant computing capacity, and thus the controller or filter must be implemented on several subsystems with limited processing capacity [6]. A decentralized networked system consists of many similar units such as multiple vehicles, agents or mobile sensors equipped with micro-processors containing limited capability and energy.…”