176 research outputs found
Analysis of WMN-GA simulation system results: A comparison study for node placement in WMNs considering exponential and weibull distributions and different transmission rates
No full textIn our previous work, we presented WMN-GA (Wireless Mesh Networks-Genetic Algorithm) system. In this paper, we use WMN-GA and analyze the simulation results considering packet delivery ratio (PDR), throughput and delay metrics. For simulations, we used ns-3 simulator and Hybrid Wireless Mesh Protocol (HWMP). We evaluate the performance of WMN for Exponential and Weibull distributions by sending multiple constant bit rate (CBR) flows and different transmission rates in the network. From simulation results, we found that for 10, 20 and 30 number of connections, the PDR is less than 60% when the transmission rate is more than 1200 kbps for Exponential distribution. The PDR for Weibull distribution is higher than Exponential distribution. For different number of connections, the throughput is increased linearly with the increasing of the transmission rate. The throughput of Exponential distribution is higher than Weibull distribution. With increasing of the number of the connections and the transmission rate, the delay is increased. For 10 connections, the delay is very small until the transmission rate is 800 kbps. The delay of Exponential distribution is smaller than that of Weibull distribution
Interface and results visualization of WMN-GA simulation system: evaluation for exponential and Weibull distributions considering different transmission rates
No full textThis is a copy of the author 's final draft version of an article published in the journal Computer standards & interfaces.
The final publication is available at Springer via
http://dx.doi.org/10.1016/j.csi.2015.04.003In this paper, we present the interface and data visualization of a simulation system for Wireless Mesh Networks (WMNs), which is based on Genetic Algorithms (GAs). We call this system WMN-GA. As evaluation parameters, we consider Packet Delivery Ratio (PDR), throughput and delay metrics. For simulations, we used ns-3 simulator and Hybrid Wireless Mesh Protocol (HWMP). From simulation results, we found that PDR for Weibull distribution is higher than Exponential distribution. But, the throughput of Exponential distribution is higher than Weibull distribution. The delay of Exponential distribution is smaller than Weibull distribution.Peer ReviewedPostprint (author's final draft
Performance analysis of WMN-GA simulation system for different WMN architectures considering OLSR
No full text(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.Wireless Mesh Networks (WMNs) are attracting a lot of attention from wireless network researchers. Node placement problems have been investigated for a long time in the optimization field due to numerous applications in location science. In our previous work, we evaluated WMN-GA system which is based on Genetic Algorithms (GAs) to find an optimal location assignment for mesh routers. In this paper, we evaluate the performance of two different distributions of mesh clients for two WMN architectures considering throughput, delay and energy metrics. For simulations, we used ns-3 and Optimized Link State Routing (OLSR). We compare the performance for normal and uniform distributions of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that for both distributions, the throughput of Hybrid WMN is higher than I/B WMN architecture. The delay of Hybrid WMN is a lower compared with I/B WMN. The delay for Hybrid WMN is almost the same for both distributions. However for I/B WMN, the delay is lower for Uniform distribution. For Normal distribution, the energy decreases sharply, because of the high density of nodes. For Uniform distribution, the remaining energy is higher compared with Normal distribution.Peer ReviewedPostprint (author's final draft
Node placement for Wireless Mesh Networks: analysis of WMN-GA system simulation results for different parameters and distributions
No full textWireless Mesh Networks (WMNs) are attracting a lot of attention from wireless network researchers. Node placement problems have been investigated for a long time in the optimization field due to numerous applications in location science. In our previous work, we evaluated WMN-GA system which is based on Genetic Algorithms (GAs) to find an optimal location assignment for mesh routers. In this paper, we evaluate the performance of four different distributions of mesh clients (Normal, Uniform, Exponential and Weibull) considering Packet Delivery Ratio (PDR), throughput and delay metrics. For simulations, we used ns-3 and Hybrid Wireless Mesh Protocol (HWMP) and sent multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that the implemented system can be used successfully for router placement in WMNs.Peer ReviewedPostprint (author's final draft
Sibalo, Admir, b. 1996 (FA 789)
No full textFinding aid and full text paper (click Additional Files below) for Folklife Archives Project 789. This collection features a term paper about the Muslim religious traditions within the author\u27s family. The project was completed by Western Kentucky University student Admir Sibalo for credit in an Introduction to Folk Studies class
Providing Crowd-Sourced and Real-Time Media Services through an NDN-Based Platform
No full textThe diffusion of social networks and broadband technologies is letting emerge large online communities of people who stay always in touch with each other and exchange messages, thoughts, photos, videos, files, and any other type of contents. At the same time, due to the introduction of crowd-sourcing strategies, according to which services and contents can be obtained by soliciting contributions from a group of users, the amount of data generated and exchanged within a social community may experience a radical increment never seen before. In this context, it becomes essential to guarantee resource scalability and load balancing to support real-time media delivery. To this end, the present book chapter aims at investigating the design of a network architecture, based on the emerging Named Data Networking (NDN) paradigm, providing crowdsourced real-time media contents. Such an architecture is composed by four different entities: a very large group of heterogeneous devices that produce media contents to be shared, an equally large group of users interested in them, a distributed Event Management System that creates events and handles the social community, and an NDN communication infrastructure able to efficiently manage users requests and distribute multimedia contents. To demonstrate the effectiveness of the proposed approach, we evaluate its performance through a simulation campaign based on real-world topologies
A Hybrid Intelligent Simulation System for Building IoT Networks: Performance Comparison of Different Router Replacement Methods for WMNs Considering Stadium Distribution of IoT Devices
No full textAs the Internet of Things (IoT) devices and applications proliferate, it becomes increasingly important to design robust networks that can continue to meet user demands at a high level. Wireless local area networks (WLANs) can be a good choice as IoT infrastructure when high throughput is required. On the other hand, wireless mesh networks (WMNs), which are WLANs with mesh topology following the IEEE802.11s standard, have many advantages compared to conventional WLANs. Nevertheless, there are some problems that need solutions. One of them is the node placement problem. In this work, we propose and implement a hybrid intelligent system that solves this problem by determining the position of mesh nodes by maximizing the mesh connectivity and the coverage of IoT devices. The system is based on particle swarm optimization (PSO), simulated annealing (SA), and distributed genetic algorithm (DGA). We compare the performance of three router replacement methods: constriction method (CM), random inertia weight method (RIWM), and rational decrement of Vmax method (RDVM). The simulation results show that RIWM achieves better performance compared to CM and RDVM because it achieves the highest connectivity while covering more clients than the other two methods
A simulated annealing algorithm for router nodes placement problem in Wireless Mesh Networks
No full textMesh router nodes placement is a central problem in Wireless Mesh Networks (WMNs). An efficient placement of mesh router nodes is indispensable for achieving network performance in terms of both network connectivity and user coverage. Unfortunately the problem is computationally hard to solve to optimality even for small deployment areas and a small number of mesh router nodes. As WMNs are becoming an important networking infrastructure for providing cost-efficient broadband wireless connectivity, researchers are paying attention to the resolution of the mesh router placement problem through heuristic approaches in order to achieve near optimal, yet high quality solutions in reasonable time. In this work we propose and evaluate a simulated annealing (SA) approach to placement of mesh router nodes in WMNs. The optimization model uses two maximization objectives, namely, the size of the giant component in the network and user coverage. Both objectives are important to deployment of WMNs; the former is crucial to achieve network connectivity while the later is an indicator of the QoS in WMNs. The SA approach distinguishes for its simplicity yet its policy of neighborhood exploration allows to reach promising areas of the solution space where quality solutions could be found. We have experimentally evaluated the SA algorithm through a benchmark of generated instances, varying from small to large size, and capturing different characteristics of WMNs such as topological placements of mesh clients. The experimental results showed the efficiency of the annealing approach for the placement of mesh router nodes in WMNs.Peer ReviewedPostprint (author's final draft
Performance Analysis of WMNs by WMN-PSODGA Simulation System Considering Load Balancing and Client Uniform Distribution
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