An Aggregate Signature Based Trust Routing for Data Gathering in Sensor Networks

Tang, Jiawei; Liu, Anfeng; Zhao, Ming; Wang, Tian

doi:10.1155/2018/6328504

Cited by 65 publications

(55 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By data security, we mean that data is stored and transferred securely, to guarantee its integrity, validity, and authenticity, and data privacy means the data can only be accessed by the people who have authorization to view and use it [1]. More reasonable protection strategies could be developed according to different purposes and requirements.…”

Section: Introductionmentioning

confidence: 99%

Security and Privacy in the Medical Internet of Things: A Review

Sun

Cai

et al. 2018

Security and Communication Networks

208

106

View full text Add to dashboard Cite

Medical Internet of Things, also well known as MIoT, is playing a more and more important role in improving the health, safety, and care of billions of people after its showing up. Instead of going to the hospital for help, patients' health-related parameters can be monitored remotely, continuously, and in real time, then processed, and transferred to medical data center, such as cloud storage, which greatly increases the efficiency, convenience, and cost performance of healthcare. The amount of data handled by MIoT devices grows exponentially, which means higher exposure of sensitive data. The security and privacy of the data collected from MIoT devices, either during their transmission to a cloud or while stored in a cloud, are major unsolved concerns. This paper focuses on the security and privacy requirements related to data flow in MIoT. In addition, we make in-depth study on the existing solutions to security and privacy issues, together with the open challenges and research issues for future work.

show abstract

Section: Introductionmentioning

confidence: 99%

Security and Privacy in the Medical Internet of Things: A Review

Sun

Cai

et al. 2018

Security and Communication Networks

208

106

View full text Add to dashboard Cite

show abstract

“…These sensing devices are deployed in a variety of applications and form the basis of Internet of Things (IoT) [34]. Combined with the current new cloud network [35], the formation of large-scale Social Networks by Fog computing [36] is rapidly changing all aspects of human production and life.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Transmission Power Control for Reliable Data Forwarding in Sensor Based Networks

Teng

Liu

et al. 2018

Wireless Communications and Mobile Computing

Self Cite

View full text Add to dashboard Cite

In wireless sensor networks (WSNs), many applications require a high reliability for the sensing data forwarding to sink. Due to the lossy nature of wireless channels, achieving reliable communication through multihop forwarding can be very challenging. Broadcast technology is an effective way to improve the communication reliability so that the data can be received by multiple receiver nodes. As long as the data of any one of the receiver nodes is transmitted to the sink, the data can be transmitted successfully. In this paper, a cross-layer optimization protocol named Adaptive transmission Power control based Reliable data Forwarding (APRF) scheme by using broadcast technology is proposed to improve the reliability of network and reduce communication delay. The main contributions of this paper are as follows: (1) for general data aggregation sensor networks, through the theoretical analysis, the energy consumption characteristics of the network are obtained. (2) According to the case that the energy consumption of nearsink area is high and that in far-sink area is low, a cross-layer optimization method is adopted, which can effectively improve the data communication by increasing the transmission power of the remaining energy nodes. (3) Since the reliability of communication is improved by increasing the transmission power of the node, the number of retransmissions of the data packet is reduced, so that the delay of the packet reaching the sink node is reduced. The theoretical and experimental results show that, applying APRF scheme under initial transmission power of 0 dBm, although the lifetime dropped by 13.77%, delay could be reduced by 40.37%, network reliability could be reduced by 10.08%, and volume of data arriving at sink increased by 10.08% compared with retransmission-only mechanism.

show abstract

“…According to Vasuhi and Vaidehi, 43 we need to remove s d t and s d r from v d LPL . This is because in the active state, data transmission and reception are required to consume energy, and this part of the energy has been calculated in equations (18) and (19). Obviously, the more nodes are close to the sink area, the larger the amount of data load, and the more time for data transmission and reception is, the shorter the LPL operation time, so the smaller the v d LPL is s d t can be calculated using the following formula…”

Section: Analysis Of Energy Consumptionmentioning

confidence: 99%

Delay optimal opportunistic pipeline routing scheme for cognitive radio sensor networks

Liu

Chen

Liu

2018

International Journal of Distributed Sensor Networks

Self Cite

View full text Add to dashboard Cite

In order to solve the problem of spectrum scarcity in wireless sensor networks, cognitive radio technology can be introduced into wireless sensor networks, giving rising to cognitive radio sensor networks. Delay-sensitive data applications in cognitive radio sensor networks require efficient real-time communication. Opportunistic pipeline routing is a potential technology to reduce the delay, which can use nodes outside the main forwarding path forward data opportunistically when the transmission fails. However, the energy efficiency of cognitive radio sensor networks with opportunistic pipeline routing is low, and the data transmission delay can be further optimized. In view of this situation, we propose the delay optimal opportunistic pipeline routing scheme named Variable Duty Cycle for Opportunistic Pipeline Routing (VDCOPR). In the Variable Duty Cycle for Opportunistic Pipeline Routing scheme, the nodes employ high duty cycle in the area far from the sink, and low duty cycle in the area near to the sink, which can achieve the balance of energy consumption and reduce the data transmission delay while not affecting network lifetime. The theoretical analysis and experimental results show that, compared with previous opportunistic pipeline routing, energy consumption of network is relatively balanced and the data transmission delay can be reduced by 36.6% in the Variable Duty Cycle for Opportunistic Pipeline Routing scheme.

show abstract

An Aggregate Signature Based Trust Routing for Data Gathering in Sensor Networks

Cited by 65 publications

References 35 publications

Security and Privacy in the Medical Internet of Things: A Review

Security and Privacy in the Medical Internet of Things: A Review

Adaptive Transmission Power Control for Reliable Data Forwarding in Sensor Based Networks

Delay optimal opportunistic pipeline routing scheme for cognitive radio sensor networks

Contact Info

Product

Resources

About