Analyzing Comprehensive QoS with Security Constraints for Services Composition Applications in Wireless Sensor Networks

Xiong, Naixue; Zhao, Weilong; Huang, Yan-Nong; Xu, Degang

doi:10.3390/s141222706

Cited by 6 publications

(3 citation statements)

References 50 publications

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“…Service oriented computing (SOA) has been widely studied in service composition [ 25 , 26 ], service selection [ 27 , 28 ], service recommendation [ 29 ], and service discovery [ 30 ]. These studies have been proved valuable in many areas, such as distributed computing, cloud computing, Internet of Things, and networked physical systems.…”

Section: Related Workmentioning

confidence: 99%

A Personalized QoS Prediction Approach for CPS Service Recommendation Based on Reputation and Location-Aware Collaborative Filtering

Kuang

Huang

et al. 2018

Sensors

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With the rapid development of cyber-physical systems (CPS), building cyber-physical systems with high quality of service (QoS) has become an urgent requirement in both academia and industry. During the procedure of building Cyber-physical systems, it has been found that a large number of functionally equivalent services exist, so it becomes an urgent task to recommend suitable services from the large number of services available in CPS. However, since it is time-consuming, and even impractical, for a single user to invoke all of the services in CPS to experience their QoS, a robust QoS prediction method is needed to predict unknown QoS values. A commonly used method in QoS prediction is collaborative filtering, however, it is hard to deal with the data sparsity and cold start problem, and meanwhile most of the existing methods ignore the data credibility issue. Thence, in order to solve both of these challenging problems, in this paper, we design a framework of QoS prediction for CPS services, and propose a personalized QoS prediction approach based on reputation and location-aware collaborative filtering. Our approach first calculates the reputation of users by using the Dirichlet probability distribution, so as to identify untrusted users and process their unreliable data, and then it digs out the geographic neighborhood in three levels to improve the similarity calculation of users and services. Finally, the data from geographical neighbors of users and services are fused to predict the unknown QoS values. The experiments using real datasets show that our proposed approach outperforms other existing methods in terms of accuracy, efficiency, and robustness.

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Section: Related Workmentioning

confidence: 99%

A Personalized QoS Prediction Approach for CPS Service Recommendation Based on Reputation and Location-Aware Collaborative Filtering

Kuang

Huang

et al. 2018

Sensors

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“…In traditional networks, only the best-effort service is provided for data transmission without considering the comprehensive performance of transmission cost, packet loss, delay, etc., which will increase the chances of network congestion to a certain extent, and even lead to the problem of network collapse [8]. To avoid or alleviate congestion problems when transferring large amounts of data at high speeds over RapidIO networks, the RapidIO network has higher requirements on QoS such as transmission cost, packet loss, delay etc.…”

Section: Introductionmentioning

confidence: 99%

The RapidIO Routing Strategy Based on the Double-Antibody Group Multi-Objective Artificial Immunity Algorithm

Jia

Huang

et al. 2022

Sensors

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The RapidIO standard is a packet-switching interconnection technology similar to the Internet Protocol (IP) conceptually. It realizes the high-speed transmission of RapidIO packets at the transport layer, but this greatly increases the probability of network blocking. Therefore, it is of great significance to optimize the RapidIO routing strategy. For this problem, this paper proposes a Double-Antibody Group Multi-Objective Artificial Immune Algorithm (DAG-MOAIA), which improves the local search and global search ability of the population by adaptive crossover and adaptive mutation of the double-antibody groups, and uses co-competition of multi-antibody groups to increase the diversity of population. Through DAG-MOAIA, an optimal transmission path from the source node to multiple destination nodes can be selected to solve the Quality Of Service (QoS) problem during data transmission and ensure the QoS of the RapidIO network. Simulation results show that DAG-MOAIA could obtain high-quality solutions to select better routing transmission paths, and exhibit better comprehensive performance in all simulated test networks, which plays a certain role in solving the problem of the RapidIO routing strategy.

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“…For preventing congestion control within WSN, there are many protocols. Out of these protocols, there are few protocols focus on critical data transmission [9,10].…”

Section: A the Congestion Problemmentioning

confidence: 99%

Analysis of QoS for PAT and EnOPATr System in WSN

S¹,

Mohan²

2018

IJET

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In the situations of natural disasters, Wireless Sensor Networks (WSN) is extensively used. Quality of Service (QoS) is an important parameter for ensuring effectiveness and robustness of service provided. QoS gets degraded when being applied in various applications of WSN. Qos expected in WSN applications gets reduced further. In this case, efficient use of the scarce resources is important to ensure continuous data transmission is ensured by proficient use of resources which are limited resources. There are many WSN protocols which focus on broadcasting of important information. But there are many parameters which get neglected by these protocols. For instance, normal data traffic gets neglected by these protocols. Hence, this research proposes EnOPATr system which is independent and distributed. The essential and normal data is handled at the same time in EnOPATr which achieves dependable and congestion free data. In a sensor node, power consumption can be reduced by decreasing the rate of packet retransmission. This is because of congestion in network. The simulation of the proposed system is done using NS-2 software which shows that the proposed system is able to reduce network congestion thereby improving the performance..

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Analyzing Comprehensive QoS with Security Constraints for Services Composition Applications in Wireless Sensor Networks

Cited by 6 publications

References 50 publications

A Personalized QoS Prediction Approach for CPS Service Recommendation Based on Reputation and Location-Aware Collaborative Filtering

A Personalized QoS Prediction Approach for CPS Service Recommendation Based on Reputation and Location-Aware Collaborative Filtering

The RapidIO Routing Strategy Based on the Double-Antibody Group Multi-Objective Artificial Immunity Algorithm

Analysis of QoS for PAT and EnOPATr System in WSN

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