scholarly journals A Rational Exchange Protocol under Asymmetric Information in Wireless Sensor Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Zhen Lv ◽  
Changgen Peng ◽  
Yanguo Peng ◽  
Junwei Zhang
Keyword(s):  
Asymmetric Information ◽  
Utility Function ◽  
Incomplete Information ◽  
Evaluation Model ◽  
Complete Information ◽  
Wireless Sensor ◽  
P2p Network ◽  
Incentive Model ◽  
Qos Evaluation

P2P network is one of the most extensive network frameworks for wireless sensor network (WSN) in Internet of Things (IoT). The peers in WSN are rational and often free ride to save power of electricity and calculation, due to the fact that the usability is of great variability and unpredictability. Such a phenomenon tremendously reduces the quality of service (QoS) in WSN. Rational exchange protocol aims at promoting QoS and guaranteeing security and fairness. However, existing schemes have taken only complete information into account, which is not up to realistic environment. The peers in realistic environment indeed possess incomplete information, which is, however, still not thoroughly investigated so far. In this paper, under asymmetric information (a typical incomplete information), an entropy based incentive model is well designed based on Markov model and QoS evaluation model to help peers cooperate in WSNs. A concrete utility function with entropy is constructed to evaluate decision utility in P2P network. Finally, an entropy based rational exchange protocol is proposed based on the presented incentive model and concrete utility function, with analysis of correctness, security, fairness, and robustness, respectively. The proposed protocol can facilitate rational peers positively and sensibly participating in services and prevent free riding for rational peers. Hence, it further promotes QoS and guarantees security and fairness simultaneously in WSNs.

scholarly journals Outsourcing under incomplete information

2017 ◽  
Vol 10 (1) ◽  
pp. 3-15 ◽  
Author(s):  
Tarun Kabiraj ◽  
Uday Bhanu Sinha
Keyword(s):  
Asymmetric Information ◽  
Incomplete Information ◽  
Private Information ◽  
Low Cost ◽  
Complete Information ◽  
Fixed Cost ◽  
Perfect Bayesian Equilibrium ◽  
Content Type ◽  
Bayesian Equilibrium ◽  
Plant Level

Purpose The purpose of this paper is to show that outsourcing can occur as outcome of a separating or pooling perfect Bayesian equilibrium although it is not profitable under complete information. Therefore, asymmetric information can itself be a reason for outsourcing. Design/methodology/approach The present paper constructs a model of two firms interacting in the product market under asymmetric information where one firm has private information about its technological capability, and it has the option to produce inputs in-house or buy inputs from an input market. However, using outsourced inputs involves a fixed cost at the plant level. The model solves for perfect Bayesian equilibrium. Findings There are situations when under complete information, outsourcing of the input will not occur, but, under incomplete information, either only the low-cost type or both high and low-cost types will go for outsourcing, and there always exist reasonable beliefs supporting these equilibria. In particular, when the fixed cost is neither too small not too large, a separating equilibrium occurs in which the low-cost type outsources inputs from the input market but the high-cost type produces in-house; hence, outsourcing signals the firm’s type. Outsourcing by only the high-cost type firm will never occur in equilibrium. Originality/value That incomplete or asymmetric information can itself be a reason for strategic outsourcing is never identified in the literature. The present paper is an attempt to fill this gap and raise the issue of outsourcing in an incomplete information environment.

scholarly journals The Evaluation Model of Network QoS Based on Intelligent Water Droplets Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Fang Li ◽  
Yunlan Wang ◽  
Peng Li
Keyword(s):  
Evaluation Model ◽  
Water Droplets ◽  
Key Factors ◽  
Evaluation Indexes ◽  
Factors Influencing ◽  
Depth Study ◽  
Optimization Function ◽  
Simulation Results ◽  
Qos Evaluation

In order to solve the problem of the user demands to the quality of service (QoS) of network, this paper provides a novel QoS evaluation model based on the intelligent water droplets (IWD) algorithm. The model firstly gives the evaluation indexes of network QoS and establishes a multiobjective optimization function for solution in combination with the improved IWD. Then, mathematical simulation is used to conduct the in-depth study of the key factors influencing the evaluation model. Compared with the other methods, the algorithm has shown better adaptability in the simulation results.

A QoS Evaluation Model in the Environment of Cloud Computing

2012 ◽  
Vol 488-489 ◽  
pp. 1094-1100
Author(s):  
Zhao En Wang ◽  
Jia Liang Liu
Keyword(s):  
Consumer Satisfaction ◽  
Computer Network ◽  
Evaluation Model ◽  
Implementation Process ◽  
Quality Model ◽  
Physical Implementation ◽  
User Request ◽  
Service Consumer ◽  
Qos Evaluation

As the name implies, the quality of service（QoS） often reflects the service consumer satisfaction with the services provided by the service provider. In computer systems, particularly in the computer network system, as the providers of the computing and information services, It is necessary to consider the cloud user’s suitability in the process of different physical implementation in the same functional service when constructing the server cluster in the cloud. This paper is for the cloud, build a service quality model oriented user request and the implementation process, completed the choice for the physical implementation with the best users fit service.

Quality of Service in Wireless Sensor Networks: A Survey and Related Patents

2011 ◽  
Vol 4 (3) ◽  
pp. 188-202 ◽  
Author(s):  
Josip Balen ◽  
Drago Zagar ◽  
Cesar Viho ◽  
Goran Martinovic
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Sensor Networks ◽  
Wireless Sensor

scholarly journals Application of Interval Fuzzy Logic in Selecting a Sustainable Supplier on the Example of Agricultural Production

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 774
Author(s):  
Adis Puška ◽  
Miroslav Nedeljković ◽  
Sarfaraz Hashemkhani Zolfani ◽  
Dragan Pamučar
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Asymmetric Information ◽  
Agricultural Production ◽  
Complete Information ◽  
Sustainable Supply Chain ◽  
Sustainability Criteria ◽  
Criteria Importance ◽  
Selection Of ◽  
Economic Criteria

The selection of sustainable suppliers (SSS) is the first step in applying a sustainable supply chain and sustainable production. Therefore, it is necessary to select the supplier that best meets the set sustainability criteria. However, the selection of suppliers cannot be done by applying symmetric information, because the company does not have complete information, so asymmetric information should be used when selecting suppliers. Since the SSS applies three main sustainability criteria, environmental, social, and economic criteria, this decision-making problem is solved by applying multi-criteria decision-making (MCDM). In order to solve the SSS for the needs of agricultural production, interval fuzzy logic was applied in this research, and six suppliers with whom agricultural pharmacies in Semberija work were taken into consideration. The application of interval fuzzy logic was performed using the methods PIPRECIA (Pivot pairwise relative criteria importance assessment) and MABAC (Multi-Attributive Border Approximation Area Comparison). Using the PIPRECIA method, the weights of criteria and sub-criteria were determined. Results of this method showed that the most significant are economic criteria, followed by the social criteria. The ecological criteria are the least important. The supplier ranking was performed using the MABAC method. The results showed that supplier A4 best meets the sustainability criteria, while supplier A6 is the worst. These results were confirmed using other MCDM methods, followed by the sensitivity analysis. According to the attained results, agricultural producers from Semberija should buy the most products from suppliers A4, in order to better apply sustainability in production. This paper showed how to decision make when there is asymmetric information about suppliers.

scholarly journals Fuzzy Evaluation Model of Process Improvement Capability with Costs Consideration

2021 ◽  
Vol 11 (10) ◽  
pp. 4344
Author(s):  
Kuen-Suan Chen ◽  
Shui-Chuan Chen ◽  
Ting-Hsin Hsu ◽  
Min-Yi Lin ◽  
Chih-Feng Wu
Keyword(s):  
Process Improvement ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Fuzzy Evaluation ◽  
Sampling Errors ◽  
Capability Index ◽  
Testing Method ◽  
Improvement Potential ◽  
Testing Accuracy

The Taguchi capability index, which reflects the expected loss and the yield of a process, is a useful index for evaluating the quality of a process. Several scholars have proposed a process improvement capability index based on the expected value of the Taguchi loss function as well as the corresponding cost of process improvement. There have been a number of studies using the Taguchi capability index to develop suppliers’ process quality evaluation models, whereas models for evaluating suppliers’ process improvement potential have been relatively lacking. Thus, this study applies the process improvement capability index to develop an evaluation model of the supplier’s process improvement capability, which can be provided to the industry for application. Besides, owing to the current need to respond quickly, coupled with cost considerations and the limits of technical capabilities, the sample size for sampling testing is usually not large. Consequently, the evaluation model of the process improvement capability developed in this study adopts a fuzzy testing method based on the confidence interval. This method reduces the risk of misjudgment due to sampling errors and improves the testing accuracy because it can incorporate experts and their accumulated experiences.

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