Hybrid journal (It can contain Open Access articles) ISSN (Print) 1755-9340 - ISSN (Online) 1755-9359 Published by Inderscience Publishers[437 journals]
Authors:Anupama Sharma, Abhay Bansal, Vinay Rishiwal Pages: 1 - 17 Abstract: Selection of high quality path in mobile ad-hoc network is a critical issue due to mobility of nodes and variable channel conditions during data transmission. Path containing smallest number of hops generally performs less due to some links on those paths may have low or marginal quality. Mean loss ratio of link is also not a perfect way to estimate link quality, mean channel condition is not realistic. Hence, link quality estimation on the basis of loss ratio in burst loss conditions of different channels is significant. Incorporation of loss variance for a link in its quality estimation through modified expected transmission count (mETX) is the main aim of the proposed protocol to improve the communication efficiency in mobile ad-hoc networks. This paper describes the design and implementation of proposed routing protocol named as modified expected transmission count enabled ad-hoc on-demand distance vector (MXAODV). Extensive simulation has been done to analyse the performance of MXADOV. Significant improvements found in terms of throughput, packet delivery fraction, normalised routing load and end-to-end delay. Keywords: link quality; routing protocols; mobile ad-hoc network; MANET; MXAODV; modified expected transmission count; mETX; expected transmission count; ETX; ETX-AODV; RSAODV; AODV; exponentially weighted moving average; EWMA Citation: International Journal of Systems, Control and Communications, Vol. 10, No. 1 (2019) pp. 1 - 17 PubDate: 2019-01-21T23:20:50-05:00 DOI: 10.1504/IJSCC.2019.097403 Issue No:Vol. 10, No. 1 (2019)
Authors:Anupama Sharma, Abhay Bansal, Vinay Rishiwal Pages: 18 - 31 Abstract: A naïve Bayes classifier is used for classifying the faults of a gear box. The rotating equipment like gear box has enough scope for condition monitoring its conditions as it plays a significant role as a prime mover in many engineering applications. This paper discusses about the extraction of Morlet wavelet coefficients from the vibration signal for different conditions of the gear box under investigation, and application of naïve Bayes classifier for its condition monitoring and diagnostics. In this paper fault diagnostics of spur bevel gear box is treated as a pattern classification problem. The major steps in pattern classification are feature extraction, and classification. This work investigates the usefulness of statistical features of Morlet wavelet coefficients and naïve Bayes for classification. The results show that the developed method can reliably diagnose different conditions of the gear box and the algorithm can be applied for online applications of supervised machine learning. Keywords: fault diagnosis; statistical features; Morlet wavelet; naïve Bayes; NB; gear box; vibration signal processing Citation: International Journal of Systems, Control and Communications, Vol. 10, No. 1 (2019) pp. 18 - 31 PubDate: 2019-01-21T23:20:50-05:00 DOI: 10.1504/IJSCC.2019.097412 Issue No:Vol. 10, No. 1 (2019)
Authors:Harendra Kumar, Nutan Kumari Chauhan, Pradeep Kumar Yadav Pages: 32 - 51 Abstract: A distributed real-time system consists of a set of heterogeneous processors located at possibly different sites and connected by a communication link. Task scheduling in distributed real-time system attracts the attention of the researcher in many disciplines. Many researchers have been developed the solution of task scheduling problem by using different types of technique. In this paper, a hybrid genetic algorithm (HGA) is developed which is a combination of k-means and genetic algorithm to form the clusters of tasks in an effort to minimise the communication costs. A genetic algorithm is also developed to schedule the formed clusters of tasks onto set of processors to minimise the execution costs. The results of the algorithm have been compared with various existing techniques. Experiment results shows that the proposed algorithm achieves better efficiency than other existing techniques. Keywords: task scheduling; distributed real-time system; DRTS; genetic algorithm; k-mean; system costs; response time Citation: International Journal of Systems, Control and Communications, Vol. 10, No. 1 (2019) pp. 32 - 51 PubDate: 2019-01-21T23:20:50-05:00 DOI: 10.1504/IJSCC.2019.097417 Issue No:Vol. 10, No. 1 (2019)
Authors:Thisura Meewella, Attaphongse Taparugssanagorn, Chantri Polprasert Pages: 52 - 66 Abstract: In this paper, we design and develop a low cost mobile phone detector which can detect active mobile phones near its vicinity. At the instant it detects radio frequency (RF) transmission signals from a mobile phone, the detector sounds a buzzer as well as blink a light emitting diode (LED) indicating that it has detected an activated cell phone in its vicinity. Using this detector, it is possible to detect mobile phones used for unethical conducts, e.g., cheating during exams in an examination hall. Since the detector works even when the phone is in silent mode, it can be used to find a lost cell phone. Furthermore, this detector has the ability to distinguish the number of mobile phones active in its vicinity. To compare our detector with commercially available detectors today our detector delivers almost the same amount of performance accuracy at a much lower cost. Keywords: mobile phone detection; statistical signal processing; detection theory; RF detection Citation: International Journal of Systems, Control and Communications, Vol. 10, No. 1 (2019) pp. 52 - 66 PubDate: 2019-01-21T23:20:50-05:00 DOI: 10.1504/IJSCC.2019.097429 Issue No:Vol. 10, No. 1 (2019)
Authors:Tua A. Tamba, Endra Joelianto Pages: 67 - 79 Abstract: Given a network system with several nodes that are linked together in a certain topology, the network utility maximisation (NUM) problem is concerned with searching for the maximum aggregate utility function of all nodes under the constraint of limited link capacities. This paper proposes the use of a gradient-free, stochastic optimisation approach based on particle swarm optimisation (PSO) method for solving the NUM problem. In contrast to much of the prior solution methods which often assume the concavity of the network's utility function, the proposed PSO approach is capable of solving NUM problems with either concave or nonconcave utility functions. We show through simulation results of solving NUM problems in medium size networks that the optimal solutions obtained by the proposed PSO method indeed correspond to the exact global optima. Keywords: network utility maximisation; nonconcave utility function; particle swarm optimisation Citation: International Journal of Systems, Control and Communications, Vol. 10, No. 1 (2019) pp. 67 - 79 PubDate: 2019-01-21T23:20:50-05:00 DOI: 10.1504/IJSCC.2019.097430 Issue No:Vol. 10, No. 1 (2019)
Hybrid journal (It can contain Open Access articles)
