Get Complete Project Material File(s) Now! »
INTRODUCTION
The use of WSNs for mission critical applications have brought to light concerns regarding QoS provisioning since the mentioned applications require performance guarantees from systems in which they are implemented. The rapid growth in the number of users and applications using WSNs has led to WSNs becoming increasingly complex. Hence, this growth has triggered high demands on WSNs to provide QoS requirements for every user and application that uses them, as a means to enhance their operation. Even though WSN technologies have limitations, they possess the potential to support modern high demand network computing applications if they could be optimized accordingly. However, it is yet to be realized as to how WSN systems could support QoS provisioning in modern network application systems, since these technologies suffer in terms of computing capabilities. Hence, this work, makes reference to the need for efficient resource management to realize the required QoS in WSNs.
PROBLEM STATEMENT
This subsection provides a detailed description of experienced challenges within the proposed area of research, especially for mission-critical application systems. These experienced challenges are described in the context of how QoS can improve WSN network operations using software-oriented strategies. Furthermore, the criticality of implementing QoS requirements to modern network computing systems is provided with the aim to support the systematic opportunity that can be achieved from the proposed research approach.
RESEARCH OBJECTIVE AND QUESTIONS
This subsection provides a list of questions that came about when conducting this study, with the objectives that have been developed to address these questions as well as provide a direction towards the implantation of the proposed approach.
OBJECTIVES
1. To develop a SDN oriented status check function that will facilitate efficient network knowledge acquisition and reporting.
2. To exploit the capabilities of check function to improve network resource allocation and utilisation.
3. To develop an OpenFlow based Active Network Management (OF-ANM) QoS scheme using SDN strategies to efficiently manage sensor traffic congestion.
4. To formulate and develop a QoS Path Selection and Resource-associating (Q-PSR) scheme for adaptive load balancing and intelligent resource control for optimal network performance.
CHAPTER 1 INTRODUCTION
1.1 PROBLEM STATEMENT
1.1.1 Context Of The Problem
1.1.2 Research Gap
1.2 RESEARCH OBJECTIVE AND QUESTIONS
1.2.1 Research Questions
1.2.2 Objectives
1.3 APPROACH
1.4 RESEARCH GOALS
1.5 RESEARCH CONTRIBUTION
1.6 RESEARCH OUTPUTS
1.7 THESIS OVERVIEW
CHAPTER 2 LITERATURE STUDY
2.1 CHAPTER OVERVIEW
2.2 QOS IN WSNS
2.2.1 QoS Metrics
2.2.2 QoS Challenges In WSNs
2.3 RESOURCE MANAGEMENT IN WSNS
2.4 SDN
2.4.1 COMMUNICATION INTERFACES
2.4.1.1 NORTH-BOUND INTERFACES
2.4.1.2 SOUTH-BOUND INTERFACES
2.4.1.2.1 QOS CAPABILITIES IN OPENFLOW PROTOCOL
2.4.1.3 EAST/WEST-BOUND INTERFACES
2.4.2 SDN Controller Models
2.4.2.1 CENTRALISED SDN CONTROLLER ARCHITECTURES
2.4.2.2 DISTRIBUTED SDN CONTROLLER ARCHITECTURES
2.4.3 QoS in SDN Controllers
2.4.4 Existing Work on SDN QoS
2.4.5 SDN Opportunities In WSNs
2.5 SDWSN
2.6 QOS IN SDWSN
2.6.1 Energy management
2.6.2 Resource allocation and utilisation
2.6.3 SDN based routing mechanisms
2.6.4 Congestion Control
2.7 CHAPTER SUMMARY
CHAPTER 3 ACTIVE NETWORK MANAGEMENT STRATEGY
3.1 CHAPTER OBJECTIVES
3.2 SIMULATION TOOLS
3.2.1 ONOS
3.2.2 NS-3
3.2.3 OfSwitch 13
3.2.4 Modified SNMP
3.2.5 OpenFlow
3.3 EXPERIMENTAL SETUP
3.4 RESULTS
3.5 CHAPTER CONCLUSION
CHAPTER 4 DEVELOPING QOS STRATEGIES FOR EFFICIENT SDWSN SYSTEMS
4.1 CHAPTER OBJECTIVES
4.1.1 RESTCONF and YANG
4.2 EXPERIMENTAL SETUP
4.3 RESULTS
4.4 CHAPTER CONCLUSION
CHAPTER 5 DISCUSSION
CHAPTER 6 CONCLUSION
GET THE COMPLETE PROJECT
SOFTWARE DEFINED NETWORKING BASED RESOURCE MANAGEMENT AND QUALITY OF SERVICE SUPPORT IN WIRELESS SENSOR NETWORK APPLICATIONS