Doktorarbeit / Dissertation, 2016
142 Seiten, Note: 16
CHAPTER 1 : Introduction
1.1 Mobile Adhoc Networks
1.2 Important Issues
1.3 MAC Protocols
1.4 Routing Protocols
1.4.1 Routing Protocol Strategies
1.4.1.1 Proactive strategy
1.4.1.2 Reactive strategy
1.4.1.3 Hybrid strategy
1.4.2 Destination Sequenced Distance Vector (DSDV) Routing
1.4.3 Adhoc On Demand Distance Vector (AODV) Routing
1.4.4 Dynamic Source Routing (DSR)
1.4.5 Temporally Ordered Routing Algorithm (TORA)
1.5 Cross Layer Design in Mobile Adhoc Networks
1.6 Motivation for the Thesis
1.7 Problem Definition
1.8 Objectives
1.9 Contributions of the Thesis
1.10 Organization of the Thesis
CHAPTER 2 : Wireless MAC, Routing and Cross layer Protocols
2.1 Wireless MAC Protocols
2.1.1 IEEE 802.11b Standard
2.1.2 RTS-CTS-DATA-ACK four way handshake Protocol
2.1.3 Minimum Transmit Power Control Protocols
2.2 Quality of Service Routing
2.2.1 Quality of service in Adhoc Networks
2.2.1.1 Special Issues and Difficulties in MANETS
2.2.1.2 Hard state versus soft state resource reservation
2.2.1.3 Stateful versus Stateless approach
2.2.1.4 Hard QoS versus Soft QoS approach
2.2.2 Classification of QoS Approaches
2.2.3 QoS Models
2.2.3.1 IntServ
2.2.3.2 DiffServ
2.2.3.3 IntServ over DiffServ
2.2.3.4 FQMM
2.2.4 Related Work
2.3 Cross Layer Design
2.3.1 Layered vs Cross Layered approach
2.3.2 Motivations for cross layer design
2.3.3 Cross Layer Protocols
CHAPTER 3 : Link Availability Model
3.1 Link Prediction
3.1.1 Link Prediction Algorithm
3.2 Simulation and Results
3.2.1 Simulation Parameters
3.2.2 Performance Metrics
3.2.3 Simulation Results and Analysis
3.2.3.1 CBR Simulations
3.2.3.2 Energy Simulations
3.2.3.3 TCP Simulations
3.3 Summary and Future Work
CHAPTER 4 : Dynamic Power Control wireless adhoc MAC Protocol
4.1 Dynamic Power Control wireless adhoc MAC Protocol
4.1.1 Proposed Protocol Basics
4.1.2 Model Description
4.1.3 Proposed Protocol Description
4.1.4 Proposed Protocol Algorithm
4.2 Simulation and Results
4.2.1 Simulation Parameters
4.2.2 Performance Metrics
4.2.3 Results and Analysis
4.3 Summary and Future work
CHAPTER 5 : Cross Layer Design for Power Control and Link Availability
5.1 Cross Layer Power Control and Link Availability Prediction
5.1.1 Power Control
5.1.2 Link Availability
5.1.3 Proposed Protocol Algorithm
5.2 Simulation and Results
5.2.1 Simulation Parameters
5.2.2 Performance Metrics
5.2.3 Simulation Results and Analysis
5.3 Summary and Future Work
CHAPTER 6 : Conclusion and Future Work
Bibliography
This thesis focuses on improving the performance and quality of service (QoS) in Mobile Adhoc Networks (MANETs) by addressing the challenges of limited battery life, node mobility, and unpredictable network topology. The primary objective is to develop cross-layer optimization protocols that predict link availability and dynamically manage transmit power to enhance network stability and energy efficiency.
3.1 Link Prediction
In traditional mobile and wired-network routing algorithms, a change of path happens when a link along the path fails or another shorter path is found. A link failure is costly because multiple retransmission timeouts are required to detect the failure and after that a new path has to be found, leading to delay in restoration. Since paths fail so infrequently in wired networks, this is not an important issue. However, as routing protocols in mobile networks follow this model despite the significantly higher frequency of path disconnections that occur, QoS of route does get affected.
In this section, we propose a link prediction algorithm to predict the time after which an active link will break. This is done by estimating the time at which received signal strength of the data packets will fall below a threshold power. The received power level below the threshold indicates that the two nodes are moving away from each other’s radio transmission range. The prediction of link break warns the source before the path breaks and the source can rediscover a new path in advance.
CHAPTER 1 : Introduction: Provides an overview of MANETs, discusses standard routing protocols, and outlines the motivation for implementing cross-layer design to improve network performance.
CHAPTER 2 : Wireless MAC, Routing and Cross layer Protocols: Details existing MAC and routing protocols, with a specific focus on power-aware mechanisms and various QoS approaches for adhoc environments.
CHAPTER 3 : Link Availability Model: Introduces the novel link prediction model using the Newton divided difference method and presents simulation analysis of the modified AODV (AODVLP) protocol.
CHAPTER 4 : Dynamic Power Control wireless adhoc MAC Protocol: Describes the design and performance evaluation of the proposed DPCP protocol, aimed at minimizing energy usage and maximizing throughput.
CHAPTER 5 : Cross Layer Design for Power Control and Link Availability: Explains the integrated DPCPLP design that combines link prediction and dynamic power control, demonstrating performance improvements over non-cross-layer approaches.
CHAPTER 6 : Conclusion and Future Work: Summarizes the thesis contributions and suggests future research directions, such as evaluating these methods under real-time traffic conditions or incorporating transport layer congestion control.
Mobile Adhoc Networks, MANET, Cross Layer Optimization, Link Prediction, AODV, Dynamic Power Control, MAC Protocol, QoS, Energy Efficiency, Network Throughput, Newton Divided Difference, IEEE 802.11, NS-2, Link Availability, Wireless Communication
The thesis addresses the challenges of frequent link failures, limited node battery life, and suboptimal routing performance in Mobile Adhoc Networks (MANETs) due to node mobility.
The work focuses on cross-layer interaction, link availability prediction, power-aware MAC protocol design, and Quality of Service (QoS) improvement.
The goal is to design and implement cross-layer solutions that reduce link failures and optimize power consumption to increase the overall lifetime and capacity of MANETs.
The author uses the ns-2 network simulator to conduct extensive performance evaluations, comparing the proposed models (AODVLP, DPCP, DPCPLP) against existing standard protocols like AODV and IEEE 802.11.
The main body covers link prediction modeling, power control MAC protocols, and the integration of these features into a unified cross-layer design for improved network stability and performance.
The work is best characterized by terms such as MANET, AODV, cross-layer optimization, power control, link prediction, and network performance evaluation.
The model uses the Newton divided difference interpolation method to estimate when the received signal strength will fall below a defined threshold, allowing the system to predict a link break before it occurs.
The DPCPLP design combines optimum transmit power management with predictive link maintenance, resulting in better throughput, lower energy consumption, and reduced communication interruption times.
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