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Sep 14, 2017Open    AccessArticle

The Analysis of a SEIRS Epidemic Model with Time Delay on Complex Networks

Jing Dong, Tao Li, Chen Wan, Xiongding Liu
In this paper, a new epidemic SEIRS model with time delay on complex networks is proposed. Based on the mean field theory, the basic reproductive number and equilibriums of the model are derived. Moreover, the impact of the network topology and time delay on the basic reproductive number is analyzed. Theoretical analyses indicate that the basic reproductive numb
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Feb 20, 2017Open    AccessArticle

Evaluating the Impact of Routing on QoS of VoIP over MANET Wireless Networks

Azeddien M. Sllame
In this paper, a performance analysis study for VoIP over mobile wireless ad hoc networks (MANET) is carried out using OPNET tool. The AODV, DSR, TORA, OLSR, and GRP routing protocols have been used as candidates to evaluate the impact of routing on quality of service (QoS) of VoIP application over MANET networks. Three different queuing mechanisms (FIFO, PQ, and WFQ) have been used also as nominee of queuing techniques. The VoIP
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Jul 26, 2016Open    AccessArticle

Rumor Spreading of a SICS Model on Complex Social Networks with Counter Mechanism

Chen Wan, Tao Li, Yuanmei Wang, Xiongding Liu
The rumor spreading has been widely studied by scholars. However, there exist some people who will persuade infected individuals to resist and counterattack the rumor propagation in our social life. In this paper, a new SICS (susceptible-infected-counter-susceptible) rumor spreading model with counter mechanism on complex social networks is presented. Using the
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May 30, 2016Open    AccessArticle

Spreading Dynamics of a Social Information Model with Overlapping Community Structures on Complex Networks

Xiongding Liu, Tao Li, Yuanmei Wang, Chen Wan
In this paper, we present a SARS (susceptible-adopted-removed-susceptible) social information spreading model with overlapping community structures on complex networks. Using the mean field theory, the spreading dynamic of the model has been studied. At first, we derived the spreading critical threshold value and equilibriums. Theoretical results indicate that t
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Dec 18, 2015Open    AccessArticle

Reduction of Single Clusters in LEACH Protocol for Wireless Sensor Networks

Yaye Mbekhe Sarr, Cheikh Sarr, Bamba Gueye
Clustering in wireless sensor networks (WSN) is an efficient way to structure and organize the network. The cluster-head (CH) forms dominant set in the network which is responsible for the creation of clusters, maintenance of the topology and data aggregation. LEACH (Low Energy Adaptive Clustering Hierarchy) is one of the most prominent hierarchical routing protocols used in Wireless Sensors Networks (WSN). Many protocols have been proposed in the literature to improve LEACH protocol. The cluste...


May 28, 2015Open    AccessArticle

A Hybrid Weight-Based Clustering Algorithm for Wireless Sensor Networks

Cheikh Sidy Mouhamed Cisse, Cheikh Sarr
Clustering in wireless sensor network (WSN) is an efficient way to structure and organize the network. The cluster head (CH) forms dominant set in the network responsible for the creation of clusters, maintenance of the topology and data aggregation. A cluster head manages the resource allocation to all the nodes belonging to its cluster. In this paper, we propose a novel distributed clustering approach called Hybrid Weight-based Clustering Algorithm (HWCA). HWCA considers the neighborhood, the ...


Jun 25, 2014Open    AccessArticle

Corad Agile Method for Agile Software Cost Estimation

Govind Singh Rajput, Ratnesh Litoriya

In this paper we are introducing new method of software cost estimation for Agile based software projects (Web based agile projects) and also like to introduce how this method is improving performance and efficiency of Agile based Software cost estimation. Rapid application development model CORADMO provided cost estimation in the form of rapid person productivity count by using person-month (Effort) and month (Schedule), but CORADMO followed waterfall m

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Jun 18, 2014Open    AccessArticle

Practical Guidelines for Learning Bayesian Networks from Small Data Sets

F. D. Bookholt,P. Stuurman,A. M. Hanea
Model learning is the process of extracting, analysing and synthesising information from data sets. Graphical models are a suitable framework for probabilistic modelling. A Bayesian Network (BN) is a probabilistic graphical model, which represents joint distributions in an intuitive and efficient way. It encodes the probability density (or mass) function of a set of variables by specifying a number of conditional independence statements in the form of a directed acyclic graph. Specifying the str...


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