Informatics Publishing Limited

Ranbir Singh ¹, Seema Baghla ¹, Navjot Kaur ²

Affiliations
1 YCOE, Punjabi University, Patiala, IN
2 DAVIET, Jalandhar, IN

Abstract

A mobile ad-hoc network (MANET) is a collection of mobile nodes, which communicate over radio. These networks have an important advantage; they do not require any existing infrastructure or central administration. Therefore, mobile ad-hoc networks are suitable for temporary communication links. This flexibility, however, comes at a price: communication is difficult to organize due to frequent topology changes. Due to the lack of infrastructure and the limited transmission range of a node in a mobile ad hoc network, a node has to rely on neighbour nodes to route a packet to the destination node. So, in order to save its own resources, node can turn selfish and stops forwarding the packets of other nodes. These misbehaviours of the selfish nodes will impact the efficiency, reliability and fairness in MANET. In this paper, we propose a threshold based method to detect the selfish nodes and exclude it from the network. Finally, we will use ns-2 simulator to observe the performance of proposed algorithm in detecting selfish nodes.

Keywords

MANET, AODV, Misbehaviour, Selfish Node.

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Ranbir Singh ¹, Seema Bagla ²

Affiliations
1 YCOE Punjabi University Campus, IN
2 CSE Department, YCOE, Punjabi University Campus, IN

Abstract

Software Quality and reliability are essential parts of software development process. Fault Proneness is a measure of data that can help the programmers to predict fault prone areas in the projects during testing or development process. This knowledge can prove very beneficial in improving software quality. Software Quality Estimation models can be broadly classified as classification and prediction. Classification techniques are used to predict probability of occurrence of fault but cannot be used to predict the number of faults. Whereas, count models such as the Poisson regression model, and the zero-inflated Poisson regression model can be used to obtain both a qualitative classification, and a quantitative prediction for software quality. In this paper we are reviewing models such as count and classification models to bring in light the most often used techniques by the researchers and academicians.

Keywords

Software Quality, Fault Proneness, Count Models, Classification Models, Analysis.

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Prakash Pahari ¹, Deepa Guleria ¹, Ranbir Singh ¹

Affiliations
1 Eternal University, Baru Sahib, Himachal Pradesh, P.O. 173101, IN

Abstract

Customer satisfaction has been identified as critical success factors in any business organization. One of the key challenges confronting the telecommunication companies is how they manage their service and amplify quality, which holds a prodigious importance to customer satisfaction. The cross sectional study was carried out to empirically measure customer satisfaction with mobile service providers in Pokhara city, Nepal with the objective to identify the most preferential and problematic attributes together with satisfaction level toward various service offered by service provider. Systematic Random sampling method was employed with the sample size of 206, where the data used for the study were obtained by using a structured survey questionnaire, which was constructed using 5 point Likert- scale. The data obtained from survey were analyzed (percentage, chi-square, correlation, ANOVA, ranking) using SPSS version 21. The survey was conducted and restricted to the subscribers using the two major GSM mobile service operators i.e. NTC and Ncell. The research was able to conclude call tariff followed by good network as most inducing factor for choosing MSP, while network congestion was the major problematic factor. The study also highlights that there exist association between demographic factors and customer satisfaction. Strong correlation was found between customer satisfaction and service providers variables except tariff of service. The study also highlights that majority of the respondent were satisfied with their service provider. The finding derived from the study will be helpful for mobile phone service providers in developing vigorous strategy for sustaining in the market by attaining competitive edge.

Keywords

Customer Satisfaction, Mobile Service Provider, Pokhara, Call Tariff, Network Congestion.

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