2014 IEEE DOTNET CLOUD COMPUTING PROJECT Qos aware geographic opportunistic routingin wireless sensor networks
- 1. GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmai l.com QoS Aware Geographic Opportunistic Routing In Wireless Sensor Networks ABSTRACT: QoS routing is an important research issue in wireless sensor networks (WSNs), especially for mission-critical monitoring and surveillance systems which requires timely and reliable data delivery. Existing work exploits multipath routing to guarantee both reliability and delay QoS constraints in WSNs. However, the multipath routing approach suffers from a significant energy cost. In this work, we exploit the geographic opportunistic routing (GOR) for QoS provisioning with both end-to-end reliability and delay constraints in WSNs. Existing GOR protocols are not efficient for QoS provisioning in WSNs, in terms of the energy efficiency and computation delay at each hop. To improve the efficiency of QoS routing in WSNs, we define the problem of efficient GOR for multiconstrained QoS provisioning in WSNs, which can be formulated as a multiobjective multiconstraint optimization problem. on the analysis and observations of different routing metrics in GOR, we then propose an Efficient QoS-aware GOR (EQGOR) protocol for QoS provisioning in WSNs. EQGOR selects and prioritizes the forwarding candidate set in an efficient manner, which is suitable for WSNs in respect of energy efficiency, latency, and time complexity. We comprehensively evaluate EQGOR by comparing it with the multipath routing approach and other baseline protocols through ns-2 simulation and evaluate its time complexity through measurement on the Mica node. Evaluation results demonstrate the
- 2. effectiveness of the GOR approach for QoS provisioning in WSNs. EQGOR significantly improves both the end-to-end energy efficiency and latency, and it is characterized by the low time complexity. EXISTING SYSTEM: Existing work exploits multipath routing to guarantee both reliability and delay QoS constraints inWSNs. However, the multipath routing approach suffers from a significant energy cost. In this work, we exploit the geographic opportunistic routing (GOR) for QoS provisioning with both end-to-end reliability and delay constraints in WSNs. Existing GOR protocols are not efficient for QoS provisioning in WSNs, in terms of the energy efficiency and computation delay at each hop. To improve the efficiency of QoS routing in WSNs, we define the problem of efficient GOR forMulti constrained QoS provisioning in WSNs, which can be formulated as a multiobjective multiconstraint optimization problem. Based on the analysis and observations of different routing metrics in GOR, we then propose an Efficient QoS-aware GOR (EQGOR) protocol for QoS provisioning in WSNs. EQGOR selects and prioritizes the forwarding candidate set in an efficient manner, which is suitable for WSNs in respect of energy efficiency, latency, and time complexitymany existing works have been proposed to improve the routing reliability and latency in WSNs with unreliable links. PROPOSED SYSTEM: Therefore, many existing works have been proposed to improve the routing reliability and latency in WSNs with unreliable links. QoS (Quality of Service) provisioning in network level refers to its ability to deliver a guaranteed level of service to applications. We proposed to exploit the geographic opportunistic routing (GOR) for multiconstrained QoS provisioning in WSNs, which is more suitable than theMultipath routing approach. We found that existing GOR protocol cannot be directly applied to the QoS provisioning in WSNs. Because the computation delays of a GOR protocol should be also considered in WSNs. We studied the problem of efficient GOR for multi constrained QoS provisioning (EGQP) in WSNs.We formulated the EGQP problem as a multi objective multiconstraint optimization problem and analyzed the properties of
- 3. EGQP’s multiple objectives. Based on our analysis and observations, we then proposed an Efficient QoS-aware GOR (EQGOR) algorithm for QoS provisioning in WSNs. EQGOR achieves a good balance between these multiple objectives, and has a very low time complexity, which is specifically tailored for WSNs considering the resource limitation of sensor devices. CONCLUSION: In this paper, we proposed to exploit the geographic opportunistic routing (GOR) for multiconstrained QoS provisioning in WSNs, which is more suitable than theMultipath routing approach. We found that existing GOR protocol cannot be directly applied to the QoS provisioning in WSNs. Because the computation delay of a GOR protocol should be also considered in WSNs. We studied the problem of efficient GOR for multiconstrained QoS provisioning (EGQP) in WSNs.We formulated the EGQP problem as a multiobjective multiconstraint optimization problem and analyzed the properties of EGQP’s multiple objectives. Based on our analysis and observations, we then proposed an Efficient QoS-aware GOR (EQGOR) algorithm for QoSprovisioning in WSNs. EQGOR achieves a good balance between these multiple objectives, and has a very low time complexity, which is specifically tailored for WSNs considering the resource limitation of sensor devices. We conducted extensive evaluations to study the performance of the proposed EQGOR. Evaluation results demonstrate its efficacy for QoS provisioning in WSNs. SYSTEM CONFIGURATION:- HARDWARE CONFIGURATION:- Processor - Pentium –IV Speed - 1.1 Ghz RAM - 256 MB(min) Hard Disk - 20 GB Key Board - Standard Windows Keyboard Mouse - Two or Three Button Mouse
- 4. Monitor - SVGA Software Requirements: • Operating system : Windows XP. • Coding Language : ASP.Net with C# Data Base : SQL Server 2005