Accepted Papers
- IRED Algorithm for Improvement in Performance of Mobile Ad Hoc Networks
Sarita Simaiya, Anurag Shrivastava and Narayan Prasad Keer, NIRT Engineering College Bhopal (MP), IndiaABSTRACT
In Mobile Ad hoc networks (MANET) traditional congestion control mechanism such as RED encounters with new challenges such as high packet drop ratio, degradation of throughput and frequent link failures. Congestion in a network occurs when the demand on the network resources is greater than the available resources and due to increasing mismatch in link speeds caused by intermixing of heterogeneous network technologies. Queue management provides a mechanism for protecting individual flows from congestion. One of the technique which uses Active Queue Management technique is RED. The basic idea behind RED queue management is to detect incipient congestion early and to convey congestion notification to the end hosts. The basic philosophy behind RED is to prevent congestion. This paper presents dynamic weight parameter Dq with probability Pq to increase the performance of RED, also introduces a new range variable and improve priority queue with existing RED algorithm for improvement in performance of networks. Once the common queue length is close to the minimum threshold value with probability Pb, Improve RED automatically sets queue parameter according to queue conditions and handles queuing delay and improve throughput. - Inductive Logic Programming for Industrial Control Applications
Samiya Bouarroudj1 and Zizette Boufaida2 ,1High School ENSET, Algeria and 2Constantine 2 University, AlgeriaABSTRACT
Advanced Monitoring Systems of the processes constitute a higher level to the systems of control and use specific techniques and methods. An important part of the task of supervision focuses on the detection and the diagnosis of various situations of faults which can affect the process. Methods of fault detection and diagnosis (FDD) are different from the type of knowledge about the process that they require. They can be classified as data-driven, analytical, or knowledge-based approach. A collaborative FDD approach that combines the strengths of various heterogeneous FDD methods is able to maximize diagnostic performance. The new generation of knowledge-based systems or decision support systems needs to tap into knowledge that is both very broad, but specific to a domain, combining learning, structured representations of domain knowledge such as ontologies and reasoning tools. In this paper, we present a decision-aid tool in case of malfunction of high power industrial steam boiler. For this purpose an ontology was developed and considered as a prior conceptual knowledge in Inductive Logic Programming (ILP) for inducing diagnosis rules. The next step of the process concerns the inclusion ofrules acquired by induction in the knowledge base as well as their exploitation for reasoning and researches. - Performance Comparison of KF,EKF for NCA,CA Target Tracking Using Bistatic Range and Range Rate Measurements
Ravi Kumar Jatoth, T.Kishore Kumar and G.Kesava Harinath, National Institute of Technology-Warangal, IndiaABSTRACT
Multisensor target tracking is finding many applications these days, due to its advantages like accurate target tracking and cheaper in cost. Range and range rate measurements from sensor often used for tracking target. In estimating target location in central station, Kalman filter and its extensions (like extended Kalman Filter) are generally preferred, because if we go to the Multilateration process we will get more error even though it may takes less time for calculation. If we go for the moving average model it will give more accurate than the Kalman filter when the window length is taken more precisely but it will take more time to compute the results. Extended Kalman filter is of two step algorithm prediction and updation. In updating the current state, the Kalman gain or correction factor plays a vital role in convergence of the filter. Kalman gain intern depends upon the initialization of process noise and measurement noise covariance matrices which is called tuning of filter. The process which is going to be estimated is unobservable to the tracker, and as tuning of Kalman filter plays a major role in convergence of the filter. - The Green Transportation By Using the Metaheuristics for Solving the Fuel Consumption Optimization Model
El Bouzekri El Idrissi adiba and El Hilali Alaoui ahemd, University of Sidi Mohamed Ibn Abdelah, MoroccoABSTRACT
The vehicle routing problem (VRP) has been addressed in many research papers. Moreover, most researches related to the VRP aims to minimize total travel time or travel distance. Therefore, minimizing fuel consumption is also an important index in the VRP for reducing the carbon emissions and has become an important issue in sustainable transportation. In this research a model is proposed for calculating total fuel consumption rate for the capacitated vehicle routing problem (CVRP) where the fuel consumption rate not only takes loading weight into consideration but also satisfies the "non-passing" property. Then an ant colony system algorithm is proposed for finding the vehicle routing with the lowest total fuel consumption. In order to evaluate the effectiveness of the proposed approach and to prove the effect of considering explicitly the fuel consumption fuel minimization objective, the Ant Colony System algorithm must be tested to FCVRP instances to show the effectiveness of our approach. - Maximizing The Number of Customers Served for Vehicle Routing Problem With Time Windows and Limited Number of Vehicles By The Ant Colony Optimization Algorithm
Messaoud Elhassania and Elhilali Alaoui Ahmed, University Sidi Mohammed Ben Abdellah, MoroccoABSTRACT
Vehicles routing problem with time windows and limited number of vehicles (m-VRPTW) is an extensionof the vehicles routing problem where the number of vehicles is limited and the service of customer can begin within the time window defined by the earliest and the latest times when the customer will permit the start of service. Under this scenario, a feasible solution is one that may contain either unserved ncustomers. This paper proposes an Ant Colony Optimization (ACO) algorithm, to maximize the number of customers served for m-VRPTW. The effectiveness of the proposed algorithm is tested on a well-known set of benchmarks and the experimental results show that our algorithm can produce good solutions.