A Trusted and Energy Efficient Approach for Cluster-Based Wireless Sensor Networks

Abstract

How to improve both security and energy efficiency is one of the most prominent issues in wireless sensor networks (WSNs). In this paper, we present a trusted and energy efficient approach for cluster-based WSNs. The approach offers (i) trusted hardware module design; (ii) energy-efficient clustering algorithm; and (iii) network operation. In the cluster-based WSNs, every cluster head is equipped with a designed trusted hardware module (TM) to improve security. Then, for improving the energy efficiency of the network, a trusted hardware based energy efficient clustering (TEEC) algorithm is proposed to select appropriate cluster heads. In the network operation, we use TEEC algorithm to perform clustering and apply TMs to achieve security functions. The analysis shows that our approach does well in resisting the attacks such as data confidentiality attack, data integrity attack, and compromise node attack. In addition, experimental results show that the TEEC algorithm makes more balanced clusters with the variance value of loads around 50% and prolongs the life cycle of the network at least 10% compared to traditional methods.

An availability predictive trust factor‐based semi‐Markov mechanism for effective cluster head selection in wireless sensor networks

“…The probability of the sensor nodes to exhibit a complete operative state is determined by Equation (19) by solving simultaneous equation described in Equations (16), (17), and (18), respectively.…”

“…Initially, an integrated energy and trust‐efficient CH selection scheme was proposed by Wang et al for improving the lifetime of the network. This integrated energy and trust‐efficient CH selection scheme solved the problem of scalability by adopting the strategy of hierarchical network architecture that balances the management of low and high end sensor nodes.…”

Research Trends in Secure Routing Protocols and Communication System in WSNs

“…In the research study of [38], [39] and [40] authors proposed secure cluster based and energy efficient routing protocols which help for appropriate cluster head selection as well as the shortest path for secure data transmission. The following table.2 briefly discusses about existing approaches to secure routing protocols for any WSNs.…”

Hybrid subnet-based node failure recovery formal procedure in wireless sensor and actor networks

“…Dijkstra's algorithm is used to calculate shortest path tree from sensor as source to actor as a destination in a subnet. 35 A subnet is divided into clusters for energy-efficient routing, 36 in which a cluster head manages a cluster based on the communication technology. 37 A cluster-based scheme is proposed to attain security by a private key management.…”

“…In this way, the recovery process is completed by cascading, that is, backup B of A is moved to position of A and newly backup of B is moved to position of B (lines [34][35][36][37][38][39]. If backup node B is critical and its backup is other than its primary, then it notifies to its backup and moves to position of its primary by cascading (lines [40][41][42][43] [34][35][36][37][38][39]. If the backup is critical and its backup is other than its primary, then the recovery procedure takes time NK (lines [40][41][42][43].…”