Top PDF Deployment Of Mesh And Multihop Wireless Network For Indoor Scenario

Deployment Of Mesh And Multihop Wireless Network For Indoor Scenario

Deployment Of Mesh And Multihop Wireless Network For Indoor Scenario

viii ABSTRACT This project is about deploying a Mesh and Multihop Test-bed wireless network for indoor scenario. This test-bed using off-the-shelf equipments are Linksys WRT610n V2 Router and dd-wrt firmware. Usually LAN is a normal technology that used to create the network by using a lot of wire but this project used the technology of wireless as a medium communication and it will be reduced the cost of installation. The performance of throughput is evaluated between mesh and multihop to extend the LAN network coverage by using wireless technologies. Then, the performance of TCP and UDP throughput is investigated for mesh and multihop wireless network in indoor scenario. This project has been done successful for test bed performance for each router which has been located at multilevel FKEKK building. Lastly, from the analysis network performance, the results shown that mesh is better than multihop in term of stability and throughput for each router before deploy in real environment.
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Design And Deployment Of Wireless Multihop Network

Design And Deployment Of Wireless Multihop Network

3 The other network topology is multihop mesh network. Wireless Mesh Network (WMN) are composed of wireless access point that facilitates the connectivity and intercommunication of wireless clients through multi hop wireless paths. WMN can connect to the internet via gateway routers. The access points were considered as the nodes of mesh network and its may connected in a hierarchical fashion. WMN was totally different from Mesh Ad-Hoc Network or known as MANET. Unlike MANET, end host and routing node are different. The access points are usually fixed. The advantage of WMN can be described as low up-front cost, easy network maintenance, robustness, reliable service coverage and so on. Currently WMN undergoing rapid commercialize that can be implemented as applications in community networks, enterprise networks, home networks, LAN for Hotels, Malls, Trains and high speed broadband in Metropolitan area network. In this project, mesh topology only referring as case of analysis since there are lots of research about it, only MWN topology will be implemented. The illustration of WMN can be seen from Figure 1.2.
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Deployment Of Indoor Test-Bed Deployment For Wireless Mesh Network Using D-Links Router

Deployment Of Indoor Test-Bed Deployment For Wireless Mesh Network Using D-Links Router

8 CHAPTER II LITERATURE REVIEW This chapter presents about several review paper of wireless mesh network projects and the guidelines in developing of network performance of indoor test bed deployment for mesh wireless. There have 5 review paper of wireless mesh network technology, whereby the papers has been describe about mesh network architecture, protocol and also about the IEE standard that use in mesh networking. It also describes regarding the user capacity that mesh network can support. Other than that, the paper had made researched on the throughput received power relationship for file transfer protocol (FTP) services in wireless mesh network. Besides that, there are several theories that should be taken into consideration in developing this project, such as test bed rural area where it’s a common element in wireless mesh network.
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Deployment and Evaluation of a Wireless Mesh Network

Deployment and Evaluation of a Wireless Mesh Network

(3) Department of Computer Science, University of California, Los Angeles, 3732F Boelter Hall, 420 Westwood Plaza, Los Angeles, CA, USA 90095-1596 (e-mail: chongtin@ucla.edu, jmnavarro@ucla.edu, gerla@cs.ucla.edu) Abstract—Wireless Mesh Networks (WMNs) have the potentialities to greatly penetrate the marketplace in the next decade. They can be considered a hybrid between wireless infrastructure and ad-hoc networks; no other network infrastructure is needed other than the mesh points, thus providing flexibility in building and expanding the network, allowing for automatic discovery of neighboring nodes, increased reliability and redundancy. In this work, we discuss how WMNs can be practically employed to support wireless multihop communications in an office-wide area. To this aim, we have deployed a real WMN testbed utilizing state-of-the-art technology and analyzed the performance of this architecture when supporting multihop heterogeneous traffic.
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Abaré: A Deployment and Management Framework for Wireless Mesh Network

Abaré: A Deployment and Management Framework for Wireless Mesh Network

Antˆonio Abel´em Federal University of Par´a Email: abelem@ufpa.br Abstract—The adoption of wireless mesh networks as a solution for access networks in indoor and outdoor environments is considered by the academic community and industry as a good alternative for Internet access due to their economic and technical feasibility. However, the existence of proprietary and open- source solutions that are not interoperable and the delay in the standardization makes the deployment of wide scale wireless mesh networks a time consuming task and it may come along with some security problems. In this paper, we propose Abar´e, a framework which defines a set of components and steps to aid in the deployment and administration of mesh networks since its inception.
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FloorNet: Deployment and Evaluation of a Multihop Wireless 802.11 Testbed

FloorNet: Deployment and Evaluation of a Multihop Wireless 802.11 Testbed

Copyright © 2010 Pablo Serrano et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. A lot of attention has been given to multihop wireless networks lately, but further research—in particular, through experimentation—is needed. This attention has motivated an increase in the number of 802.11-based deployments, both indoor and outdoor. These testbeds, which require a significant amount of resources during both deployment and maintenance, are used to run measurements in order to analyze and understand the limitation and differences between analytical or simulation-based figures and the results from real-life experimentation. This paper makes two major contributions: (i) first, we describe a novel wireless multihop testbed, which we name FloorNet, that is deployed and operated under the false floor of a lab in our Computer Science building. This false floor provides a strong physical protection that prevents disconnections or misplacements, as well as radio shielding (to some extent) thanks to the false floor panels—this later feature is assessed through experimentation; (ii) second, by running exhaustive and controlled experiments we are able to analyze the performance limits of commercial off-the- shelf hardware, as well as to derive practical design criteria for the deployment and configuration of mesh networks. These results both provide valuable insights of wireless multihop performance and prove that FloorNet constitutes a valuable asset to research on wireless mesh networks.
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A Comprehensive Survey of Multihop Wireless Network

A Comprehensive Survey of Multihop Wireless Network

pervasive computing, are presently being used on a large scale to monitor real-time environmental status. Most tactical wireless networks are operating in a hostile environment, in which normal network operation cannot be easily achieved. Wireless data networks have spread between home users and companies in an increasing fashion. The main reason behind this fast adaptation is due to the nature of wireless networks where it provides the flexibility and freedom that wired networks lack. The increasing of bandwidth capabilities has inspired people to think seriously about replacing wired networks with wireless networks especially in places where it is hard or expensive to have wired networks. Each day, new arduous projects and applications utilizing mobile devices are evolving, with a prime motive to deploy wireless multi-hop networks into the real world. As these networks are, in general, deployed in extreme environmental conditions their performance evaluation is a matter of great concern and demands rigorous analysis. Several models, simulators, testbeds and visualization tools have evolved in the last two decades for analyzing the characteristics of these wireless multi-hop networks. In this paper, first we discuss about the WSN and its life cycle. Then, we discuss the associated challenges in wireless multi-hop network for P2P applications. Besides, we also discuss challenges in switching routing protocols in wireless mesh network and various literature have provided regarding work has been already done in the field of wireless multi-hop network.
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FloorNet: Deployment and Evaluation of a Multihop Wireless 802 11 Testbed

FloorNet: Deployment and Evaluation of a Multihop Wireless 802 11 Testbed

Copyright © 2010 Pablo Serrano et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. A lot of attention has been given to multihop wireless networks lately, but further research—in particular, through experimentation—is needed. This attention has motivated an increase in the number of 802.11-based deployments, both indoor and outdoor. These testbeds, which require a significant amount of resources during both deployment and maintenance, are used to run measurements in order to analyze and understand the limitation and differences between analytical or simulation-based figures and the results from real-life experimentation. This paper makes two major contributions: (i) first, we describe a novel wireless multihop testbed, which we name FloorNet, that is deployed and operated under the false floor of a lab in our Computer Science building. This false floor provides a strong physical protection that prevents disconnections or misplacements, as well as radio shielding (to some extent) thanks to the false floor panels—this later feature is assessed through experimentation; (ii) second, by running exhaustive and controlled experiments we are able to analyze the performance limits of commercial off-the- shelf hardware, as well as to derive practical design criteria for the deployment and configuration of mesh networks. These results both provide valuable insights of wireless multihop performance and prove that FloorNet constitutes a valuable asset to research on wireless mesh networks.
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Network Performance Of Outdoor Test-Bed Deployment For Wireless Mesh Network Using Linksys Router (610N)

Network Performance Of Outdoor Test-Bed Deployment For Wireless Mesh Network Using Linksys Router (610N)

Wireless mesh networks were originally developed for military applications and are typical of mesh architectures. Over the past decade the size, cost, and power requirements of radios has declined, enabling more radios to be included within each device acting as a mesh node. The additional radios within each node enable it to support multiple functions such as client access, backhaul service, and scanning (required for high speed handover in mobile applications). Additionally, the reduction in radio size, cost, and power has enabled the mesh nodes to become more modular—one node or device now can contain multiple radio cards or modules, allowing the nodes to be customized to handle a unique set of functions and frequency bands.
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Deployment, Coverage And Network Optimization In Wireless Video Sensor Networks For 3D Indoor Monitoring

Deployment, Coverage And Network Optimization In Wireless Video Sensor Networks For 3D Indoor Monitoring

Within this section, current studies relating to video sensor node deployment in WVSNs is discussed. The antagonistic relationship between the rigid requirements of vi- sual data transmission and the constrained indoor placement restrictions of sensor networks warrants the need for an optimal deployment scheme in WVSNs. Several of these works evaluate various contexts of the aforementioned problem. In the paper featuring Chow et al. [98], the authors use a simple model to provide maximum angle coverage in a Visual Sensor Network to generate a minimum set of sensors to cover all objects of interest. Using a distributed algorithm they are able to achieve minimum cover with an image resolution constraint. In contrast, most WSN models employ simple 2D sensing fields, where the sensor has omni-directional freedom negating the impact in which the angular direction of the video sensor can affect the network. A novel approach to sensor deployment is considered in [99] where a Pan Tilt Zoom (PTZ) camera is used in a WVSN. The authors highlight how a PTZ WVSN differs from a traditional WVSN in that there are extended FoV coverages and semi-structured data source nodes that allow for irregular or incomplete data transmission. A PTZA heuristic is employed to account for the adjustment time the sensor requires to capture the visual data. The research discussed in [100] explores the deployment problem for WVSNs while considering the coverage of the monitored environment. A mathemati- cal model is then used to define the problem of complete coverage using a greedy heuristic algorithm FoVIC where the objective is to cover the largest number of uncovered nodes within the area. However, both papers formulate models using a 2D approach (i.e. the latter emphasizing a mathematical model) and use quantitative analysis to evaluate their solutions.
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Obstacle-Aware Wireless Video Sensor Network Deployment For 3D Indoor Space Monitoring

Obstacle-Aware Wireless Video Sensor Network Deployment For 3D Indoor Space Monitoring

CHAPTER 7 CONCLUSION AND FUTURE WORK In this thesis, we studied the problem of 3D indoor space coverage with the consid- eration of obstacles for video sensor deployment in WVSNs. We first modeled the basic deployment problem of optimizing the placement and facing direction of each wireless video sensor in a continuous space. We then proposed a lattice grid model for a discrete real world applicable environment. We designed two strategies to tackle the additional chal- lenges caused by obstacles which are Divide and Conquer Detection strategy and Accurate Detection strategy. With obstacle-awareness strategies, we can generate more realistic and precise result. We developed both a greedy heuristic and enhanced DFS method to cover all regions whereby we minimized the number of video sensors by careful selecting the location (placement) and direction (angle) of each video sensor. The greedy heuristic algorithm we have proposed can generate reasonably good solution very quickly when compare with the Enhanced DFS, which is further used to improve our enhanced DFS algorithm with other pruning techniques. Extensive simulations driven by the JavaScript emulator showed the enhanced DFS algorithm was able to reduce the number of video sensors required to cover the entire 3D indoor coverage region, which will significantly improve feasibility and outlines the theoretical constraints for 3D indoor space coverage.
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Deployment of VoIP in the IEEE s Wireless Mesh Networks

Deployment of VoIP in the IEEE s Wireless Mesh Networks

Figure 5-3. Data Throughput for HWMP 5.1 Problem Definition In the last chapter we have seen HWMP has better performance considering VOIP application. However it has been observed that within Mesh network HWMP has more overhead, which increase with number of nodes. End to End delay is nearly same as AODV. HWMP doesn’t select the best path in every case. Figure 5-4 suggests that the green path is selected by HWMP due to Hop by Hop nature. RREQ packets are broadcasted in network to find the best route to destination and finally the next best having low metrics value is selected. The cumulative sum of metrics value for green path is 12%, while on the other hand the cumulative sum of metrics value for red path is 10%. Thus HWMP doesn’t always guarantee a low metrics value path. Here a more centralized approach is required as MPs in IEEE802.11s have very low or no mobility. Centralized approach means that path should be selected having complete knowledge of the topology. The reason for this approach is that IEEE 802.11s WMN has approximately no mobility, so distribution of topology information will be easy. Important factor to be considered in this regard is bandwidth.
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Scalable Incremental Network Programming for Multihop Wireless Sensors

Scalable Incremental Network Programming for Multihop Wireless Sensors

6. Conclusion Network programming is a method of re-tasking wireless sensor nodes by sending the program code over the net- work, and it enables updating the program code of sensor nodes without physically disrupting a sensor network deployment. In this paper, we further explored the prob- lem space for network programming and identified re- quirements which emphasize flexible and speedy repro- gramming. To achieve these goals, we designed our net- work programming component by composing several building blocks. For the basic network programming machinery, we used the image volume management mo- dule of Deluge2, copying the program image to the ex- ternal flash memory and running the boot loader. For flexible network programming, we used the BLIP IPv6 stack to provide multihop IPv6 connectivity to the entire network of devices. For faster reprogramming, we up- dated the program image incrementally, generating the program image patch using the Rsync algorithm. With our wireless re-tasking method, we are able to get trans-
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In a multihop wireless ad hoc network, mobile nodes

In a multihop wireless ad hoc network, mobile nodes

The obvious way to distribute private keys is to share them with each pair of nodes before deployment, when we know all nodes are behaving correctly. This approach is more difficult when incremental deployment of net- work nodes is desirable. Frank Stajano and Ross Ander- son 13 propose a scheme for establishing trust and keys be- tween two nodes in an ad hoc network; in their resurrecting duckling model, two nodes are touched to- gether to bind a slave node to a master node. Once a key is exchanged through this physical link, that key can be used to encrypt and authenticate further information, such as a list of shared keys. Dirk Balfanz and his colleagues 14 gen- eralize their approach, assuming a side channel in which it’s possible to detect multiple transmitters.
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Low energy indoor network : deployment optimisation

Low energy indoor network : deployment optimisation

The other is wireless local area networks (WLANs) which focus on providing non-real time data applications [2]. Due to the increasing demands for indoor higher data-rate wireless applications, existing cellular systems will be insufficient to meet the expected quality of service (QoS) requirement for indoor users from both service coverage and capacity perspectives. The femtocell access points (FAPs) have been proposed to address the above chal- lenge, which uses low-power, short-range and low-cost base stations. Femtocells are compatible with the existing outdoor macro-cell cellular base stations which can easily support seamless handoff but provide better indoor signal strength. With the introduction of femtocell technology, serving base stations are becoming similar to the closest competing Wi-Fi technology in reality. Instead of the con- ventional cellular network infrastructure, femtocells use the IP Network as a backhaul architecture which has a lot in common with the existing 802.11 technology. Despite the huge potentials of femtocells, they still face many tech- nical and business challenges. Whilst existing research has
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Low energy indoor network: deployment optimisation

Low energy indoor network: deployment optimisation

The other is wireless local area networks (WLANs) which focus on providing non-real time data applications [2]. Due to the increasing demands for indoor higher data-rate wireless applications, existing cellular systems will be insufficient to meet the expected quality of service (QoS) requirement for indoor users from both service coverage and capacity perspectives. The femtocell access points (FAPs) have been proposed to address the above chal- lenge, which uses low-power, short-range and low-cost base stations. Femtocells are compatible with the existing outdoor macro-cell cellular base stations which can easily support seamless handoff but provide better indoor signal strength. With the introduction of femtocell technology, serving base stations are becoming similar to the closest competing Wi-Fi technology in reality. Instead of the con- ventional cellular network infrastructure, femtocells use the IP Network as a backhaul architecture which has a lot in common with the existing 802.11 technology. Despite the huge potentials of femtocells, they still face many tech- nical and business challenges. Whilst existing research has
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Reliable Metrics for Wireless Mesh Network

Reliable Metrics for Wireless Mesh Network

2 (Lecturer, Department of CS, K.L.S.’s Shri Vasantrao Potdar Polytechnic, Belgaum, India) ---------------------------------------------------------------------***------------------------------------------------------------------- ABSTRACT: Wireless mesh network is progressing technology in the field of wireless networking. WMN is wide spreading network due to its advantages such as low deployment cost, easy maintenance, scalability, reliable service coverage and high performance. It is compatible and interoperable with existing wireless networks. Wireless mesh network is based on IEEE 802.11 standard according to which the packet delivered must be acknowledged. The quality of service (QoS) and throughput of the network in WMNs can be enhanced by using layer routing metrics. The routing metrics developed for ad hoc network can be applied for wireless mesh network as it shares some features of ad hoc network. Existing routing protocols must include some performance metric such as the power requirements and mobility. This article represents qualitative comparison of existing routing metrics Expected transmission count [ETX], Expected Transmission time [ETT], load aware expected transmission time [LAETT]. Comparative analysis of Metrics is evaluated through simulation by considering performance metrics like packet delivery ratio, average throughput, bandwidth utilization .
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Site Planning For Wireless Mesh Network

Site Planning For Wireless Mesh Network

CHAPTER I INTRODUCTION 1.1 Background This project is basically focused on network deployment for providing a Wi-Fi access for a selected test-bed. In this project, FKEKK building area is taken as the test-bed. Thesis process involves network planning, monitoring, data collection, analyses and optimization of wireless mesh network in order to maximize the usage and quality of the network. Two parameters will be observed namely Received Signal Strength Indicator or RSSI (can be translated to Signal-to-Noise ratio or SNR) and network Throughput.
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Performance of VoIP in a Wireless Mesh Network

Performance of VoIP in a Wireless Mesh Network

B. Use of multiple interfaces Referring back to Figure 1, we see that the main prob- lem in a multihop network is performance degradation with increasing number of hops. A simple idea for improvement would be to just increase the number of interfaces in each node. A naive use of multiple interfaces in a string would be to use one interface on a channel for the forward traffic and a second interface on a second channel for the reverse traffic, which should provide double capacity. We verified this in our testbed on a string of six hops. However, for each of these flows, the same behavior as in Figure 1 is created by interference with neighbors which have cards on the same channel. An alternate method is to use more independent channels as shown in Figure 6. However, using 802.11b, only three channels are available, which limits the achievable improvement. Operating with only two backhaul interfaces and only three independent channels offered by 802.11b, we evaluated the following situations. Case A: two independent
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Topology Management for Wireless Mesh Network

Topology Management for Wireless Mesh Network

The Pearson Product Moment Correlation (PPMC) was used to find the correlation between scenarios 1 (X) and 2 (Y) to determine if addition of more gateway to scenario 2 from scenario 1 has effort on the number of throughput received by the mobile hosts. The PPMC produced a coefficient of 0.6017 which shows a moderate positive correlation which is statistically significant, indicating that increase in number of gateway increased the performance and number of TCP throughput received by each mobile host in scenario 2 than scenario 1. Also, PPMC was used to test if there is correlation between scenario 2 and scenario 3 with equal number of gateways. Mobile hosts in scenario 2 are static and NIC reliability in all nodes remain at “UP” state throughout the simulation, whereas they are mobile in scenario 3 and NIC reliability in each Node varies. The correlation between the two scenarios was calculated and 0.923 coefficients were obtained. It shows a high positive correlation which is statistically significant. The result showed that WMNs is reliable and scalable even with additional gateway. The variety of testing topologies in wireless is limited and mobility tests are impracticable, consequently, this formulated simulation model that provides more flexibility and a controllable environment is therefore recommended for testing purposes on various parameters.
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