This paper describes the technique to recover from the failures that occurs in Wireless Mesh networks(WMN) like node failure, link failures etc, due to channel interference, dynamic obstacles or application bandwidth demands. This paper presents an Autonomous network Reconfiguration System (ARS) that enables a multi-radio WMN to autonomously recover from local link failures to preserve network performance.
ARS has been implemented and evaluated extensively on our IEEE 802.11-based WMN test-bed as well as through ns-2-based simulation. By using channel and radio diversities in WMNs, ARS generates necessary changes in local radio and channel assignments in order to recover from failures. Next ARS’s on-line reconfigurability allows for real-time failure detection and network reconfiguration, thus improving channel-efficiency by 92%. Our evaluation results demonstrated the effectiveness of ARS in recovering from local link-failures and in satisfying application’s diverse QoS demands.
Table of Contents
1.INTRODUCTION:
2. EXISTING SYSTEM:
2.1 Localized reconfiguration:
2.2 QoS-Constraints:
2.3 Cross-layer interaction:
2.4 Limitations of Existing System:
3.proposed system:
3.1 The ARS Architecture:
3.2 Multi-radio WMN (mr-WMNs):
3.3 Localized Network Reconfiguration:
3.3.1 Generating feasible plans:
3.3.2 QoS-Satisfiability Evaluation:
3.3.3 Choosing the best plan:
3.4 Complexity of ARS:
3.5 Advantages of proposed system:
4. PERFORMANCE EVALUATION:
4.1 Methodology
4.1.1 Simulation Environment:
4.2Module Descriptions:
5. Results And Analysis:
6.CONCLUSION:
7.FUTURE WORK:
8.REFERENCES:
Research Objectives and Key Topics
The primary goal of this research is to develop an Autonomous Network Reconfiguration System (ARS) that enables multi-radio Wireless Mesh Networks (WMNs) to autonomously recover from local link failures in real-time, thereby preserving network performance and satisfying diverse Quality of Service (QoS) demands without requiring global network changes.
- Development of a localized reconfiguration planning algorithm to manage link failures.
- Implementation of QoS-aware monitoring and failure detection mechanisms.
- Improvement of network channel efficiency and throughput through autonomous reconfiguration.
- Evaluation of system performance using IEEE 802.11-based testbeds and ns-2 simulation.
Excerpt from the Book
3.3 Localized Network Reconfiguration:
The ARS function is to systematically generate localized reconfiguration plans. A reconfiguration plan is defined as a set of links’ configuration changes e.g., channel switch, link association necessary for a network to recover from a link(s) failure on a channel and there are usually multiple reconfiguration plans for each link failure. By contrast, ARS systematically generates reconfiguration plans that localize network changes by dividing the reconfiguration planning into three processes—feasibility, QoS-satisfiability, and optimality—and applying different levels of constraints.
As depicted in Figure 3, ARS first applies connectivity constraints to generate a set of feasible reconfiguration plans that enumerate feasible channel, link, and route changes around the faulty areas, given connectivity and link-failure constraints, ARS then applies within set strict constraints (i.e., QoS and network utilization) to identify a reconfiguration plan that satisfies the QoS demands and that improves network utilization most.
Summary of Chapters
1.INTRODUCTION: Outlines the challenges of maintaining performance in Wireless Mesh Networks and introduces the proposed ARS solution for autonomous failure recovery.
2. EXISTING SYSTEM: Discusses current resource-allocation and routing approaches, highlighting their limitations regarding global reconfiguration requirements and dynamic network handling.
3.proposed system: Describes the architecture, operation, and planning algorithms of the Autonomous Network Reconfiguration System (ARS).
4. PERFORMANCE EVALUATION: Details the simulation environment, methodology, and module configurations used to test the effectiveness of the ARS approach.
5. Results And Analysis: Presents empirical evidence regarding QoS-aware planning effectiveness, the impact of benefit functions, and reconfiguration range performance.
6.CONCLUSION: Summarizes the effectiveness of ARS in improving channel efficiency and handling link failures in WMN environments.
7.FUTURE WORK: Explores potential advancements in joint optimization of flow assignment and routing for IEEE 802.11b/g networks.
8.REFERENCES: Lists the academic and technical resources utilized throughout the paper.
Keywords
Wireless mesh networks, autonomous network reconfiguration system, channel diversity, radio diversity, on-line reconfigurability, QoS-aware planning, link failure recovery, IEEE 802.11, network performance, throughput, simulation, ns-2, channel efficiency, routing protocols, bandwidth constraints.
Frequently Asked Questions
What is the fundamental purpose of this research?
The research focuses on enabling Wireless Mesh Networks (WMNs) to autonomously detect and recover from link failures using an Autonomous Network Reconfiguration System (ARS) to ensure consistent network performance.
What are the primary thematic areas?
The study covers network reconfiguration planning, Quality of Service (QoS) management, channel and radio diversity, and automated failure recovery mechanisms in multi-radio WMNs.
What is the core research goal?
The primary goal is to minimize the impact of link failures by generating localized reconfiguration plans that satisfy bandwidth demands while avoiding global network disruptions.
Which scientific methods are employed?
The researchers utilize a combination of architectural design, a localized planning algorithm based on feasibility and QoS-satisfiability, and performance evaluation through both a Linux-based testbed and ns-2 network simulations.
What does the main body cover?
The main body details the design and architecture of ARS, the localized reconfiguration planning process, the criteria for choosing optimal recovery plans, and the extensive performance evaluation results.
What are the characterizing keywords?
Key terms include Wireless Mesh Networks (WMNs), autonomous reconfiguration, channel and radio diversity, QoS-aware planning, and real-time failure recovery.
How does ARS differ from existing greedy channel-assignment algorithms?
Unlike greedy algorithms that may only focus on single links and fail to achieve full system improvements, ARS considers neighboring mesh router configurations and QoS-satisfiability to ensure more effective, long-term network stability.
What role does the 'benefit function' play in the ARS planning algorithm?
The benefit function is used to quantify the improvement in channel utilization provided by a specific reconfiguration plan, acting as a fairness index to distribute link capacity evenly across the network.
- Quote paper
- syeda faquera fatima syeda faquera fatima (Author), 2018, Autonomously recover from wireless link failure through "Autonomous Network Reconfiguration System" (ARS) with multi-radio in WMN, Munich, GRIN Verlag, https://www.grin.com/document/418538
