BD-VTE: A Novel Baseline Data Based Verifiable Trust Evaluation Scheme for Smart Network Systems

Huang, Shaobo; Liu, Anfeng; Zhang, Shaobo; Wang, Tian; Xiong, Naixue

doi:10.1109/tnse.2020.3014455

Cited by 131 publications

(66 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In future IoT application scenarios such as smart city, both the mobile vehicles and even the unmanaged aerial vehicles can become parts of the sensing network. For example, [37] and [38] separately use unmanaged aerial vehicles and mobile vehicles as the mobile sinks to collect the interesting data. Meanwhile, [39] uses trustworthiness vehicles as vehicular sensors to sense the corresponding data.…”

Section: Discussionmentioning

confidence: 99%

Clustering the Wireless Sensor Networks: A Meta-Heuristic Approach

et al. 2020

IEEE Access

View full text Add to dashboard Cite

Lifetime is one of the most critical indexes of the Wireless Sensor Network (WSN). In this paper, we propose a clustering protocol based on the meta-heuristic approach (CPMA). CPMA takes the network lifetime as the primary consideration and consists of two parts. The first part focuses on the online cluster head selection and network communication coordination. The selection is based on the Harmony Search (HS) Algorithm, which aims to reduce the total energy dissipation and smooth the energy distribution throughout the network. Currently, most clustering protocols cannot automatically tune the corresponding protocol parameters according to the diversity of different WSNs. To solve such issue, the second part of CPMA uses the Artificial Bee Colony (ABC) algorithm to optimize its crucial parameters. The optimization is offline and will be executed only once before the network is working. We make a detailed comparison of CPMA with classical clustering protocols. The results show that CPMA can better prolong the network lifetime and improve network throughput under almost all the network conditions. Furthermore, our simulation also exhibits that CPMA has good adaptability and performs well under different network lifetime definitions. All the results prove that CPMA has the advantages of being suitable and efficient for a wide number of WSN applications.

show abstract

Section: Discussionmentioning

confidence: 99%

Clustering the Wireless Sensor Networks: A Meta-Heuristic Approach

et al. 2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The two most important aspects of communication it influences are as follows. (1) Energy efficiency [37]. Generally, most sensing devices are powered by batteries, which provide very limited energy, creating a need for high energy efficiency [38].…”

Section: Introductionmentioning

confidence: 99%

Energy-aware MAC protocol for data differentiated services in sensor-cloud computing

et al. 2020

Self Cite

View full text Add to dashboard Cite

The energy-aware MAC protocol is the basic communication protocol for device-to-device communication in sensor-cloud computing and facilitates data sensing, computing, and sharing for applications. Transmitting highpriority data to control centers quickly to manage emergencies is essential for sensor-cloud applications. In this paper, a Dynamic Wait time-based MAC (DWT-MAC) protocol is proposed for data differentiated services of a sensor-cloud system (SCS). The DWT-MAC protocol is novel in that it changes the receiver wait time, which has been fixed in previous MAC protocols, and it reduces the delay in data transmission by dynamically adjusting the wait time. In the DWT-MAC protocol, the wait time changes according to the number of senders, which can ensure that it always approaches the optimal value. A dynamic time adjustment algorithm, which causes the wait time to always trail the optimal value, is proposed to reduce delays. While the DWT-MAC protocol cannot ensure wait times of the optimal value, it can ensure that it quickly comes close to the optimal value, which is suitable for dynamically changing networks. Extensive experiments show that the DWT-MAC protocol reduces the average delay in the transmission of data of the highest priority by 49.3%.

show abstract

“…Wireless sensor networks (WSNs) is widely deployed in the smart city. There exists a great amount of sensing devices in the urban environment, the sensing devices in WSNs can sense the environmental data [1][2][3][4]. The collected sensing data can be processed and sent to the remote server to make decisions, which can help improve the city management [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Computation offloading through mobile vehicles in IoT-edge-cloud network

Long

Luo

Zhu

et al. 2020

Preprint

View full text Add to dashboard Cite

With the developing of Internet of Things (IoT) and mobile edge computing (MEC), more and more sensing devices are widely deployed in the smart city. These sensing devices generate various kinds of tasks, which need to be sent to cloud to process. Usually, the sensing devices do not equip with wireless modules, because it is neither economical nor energy saving. Thus, it is a challenging problem to find a way to offload tasks for sensing devices. However, many vehicles are moving around the city, which can communicate with sensing devices in an effective and low-cost way. In this paper, we propose a computation offloading scheme through mobile vehicles in IoT-edge-cloud network. The sensing devices generate tasks and transmit the tasks to vehicles, then the vehicles decide to compute the tasks in the local vehicle, MEC server or cloud center. The computation offloading decision is made based on the utility function of the energy consumption and transmission delay, and the deep reinforcement learning technique is adopted to make decisions. Our proposed method can make full use of the existing infrastructures to implement the task offloading of sensing devices, the experimental results show that our proposed solution can achieve the maximum reward and decrease delay.

show abstract

BD-VTE: A Novel Baseline Data Based Verifiable Trust Evaluation Scheme for Smart Network Systems

Cited by 131 publications

References 45 publications

Clustering the Wireless Sensor Networks: A Meta-Heuristic Approach

Clustering the Wireless Sensor Networks: A Meta-Heuristic Approach

Energy-aware MAC protocol for data differentiated services in sensor-cloud computing

Computation offloading through mobile vehicles in IoT-edge-cloud network

Contact Info

Product

Resources

About