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A QoS-Oriented Distributed Routing Protocol for Hybrid 
Wireless Networks 
ABSTRACT: 
As wireless communication gains popularity, significant research has been devoted 
to supporting real-time transmission with stringent Quality of Service (QoS) 
requirements for wireless applications. At the same time, a wireless hybrid network 
that integrates a mobile wireless ad hoc network (MANET) and a wireless 
infrastructure network has been proven to be a better alternative for the next 
generation wireless networks. By directly adopting resource reservation-based QoS 
routing for MANETs, hybrids networks inherit invalid reservation and race 
condition problems in MANETs. How to guarantee the QoS in hybrid networks 
remains an open problem. In this paper, we propose a QoS-Oriented Distributed 
routing protocol (QOD) to enhance the QoS support capability of hybrid networks. 
Taking advantage of fewer transmission hops and anycast transmission features of 
the hybrid networks, QOD transforms the packet routing problem to a resource 
scheduling problem. QOD incorporates five algorithms: 1) a QoS-guaranteed 
neighbor selection algorithm to meet the transmission delay requirement, 2) a 
distributed packet scheduling algorithm to further reduce transmission delay, 3) a
mobility-based segment resizing algorithm that adaptively adjusts segment size 
according to node mobility in order to reduce transmission time, 4) a traffic 
redundant elimination algorithm to increase the transmission throughput, and 5) a 
data redundancy elimination-based transmission algorithm to eliminate the 
redundant data to further improve the transmission QoS. Analytical and simulation 
results based on the random way-point model and the real human mobility model 
show that QOD can provide high QoS performance in terms of overhead, 
transmission delay, mobility-resilience, and scalability. 
EXISTING SYSTEM: 
Reservation-based QoS routing protocols have been proposed for MANETs that 
create routes formed by nodes and links that reserve their resources to fulfill QoS 
requirements. Although these protocols can increase the QoS of the MANETs to a 
certain extent. 
DISADVANTAGES OF EXISTING SYSTEM: 
 Cannot provide QoS-guaranteed services. 
 Suffer from invalid reservation and race condition problems .
 Invalid reservation problem means that the reserved resources become 
useless and Race condition problem means a double allocation of the 
same resource to two different QoS paths. 
PROPOSED SYSTEM: 
 In this paper, we propose a QoS-Oriented Distributed routing protocol 
(QOD) to enhance the QoS support capability of hybrid networks. 
 Taking advantage of fewer transmission hops and any cast transmission 
features of the hybrid networks, QOD transforms the packet routing problem 
to a resource scheduling problem. 
ADVANTAGES OF PROPOSED SYSTEM: 
 QOD can provide high QoS performance in terms of overhead, transmission 
delay, mobility-resilience, and scalability.
SYSTEM ARCHITECTURE: 
SYSTEM REQUIREMENTS: 
HARDWARE REQUIREMENTS: 
 System : Pentium IV 2.4 GHz. 
 Hard Disk : 40 GB. 
 Floppy Drive : 1.44 Mb. 
 Monitor : 15 VGA Colour. 
 Mouse : Logitech. 
 Ram : 512 Mb.
SOFTWARE REQUIREMENTS: 
 Operating system : Windows XP/7. 
 Coding Language : C#.net 
 Tool : Visual Studio 2010 
 Database : SQL SERVER 2008 
REFERENCE: 
Ze Li, and Haiying Shen,“A QoS-Oriented Distributed Routing Protocol for 
Hybrid Wireless Networks”, IEEE TRANSACTIONS, VOL. 13, NO. 3,MARCH 
2014.

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JPN1422  Defending Against Collaborative Attacks by Malicious Nodes in MANETs...JPN1422  Defending Against Collaborative Attacks by Malicious Nodes in MANETs...
JPN1422 Defending Against Collaborative Attacks by Malicious Nodes in MANETs...
 
JPN1420 Joint Routing and Medium Access Control in Fixed Random Access Wire...
JPN1420   Joint Routing and Medium Access Control in Fixed Random Access Wire...JPN1420   Joint Routing and Medium Access Control in Fixed Random Access Wire...
JPN1420 Joint Routing and Medium Access Control in Fixed Random Access Wire...
 
JPN1418 PSR: A Lightweight Proactive Source Routing Protocol For Mobile Ad H...
JPN1418  PSR: A Lightweight Proactive Source Routing Protocol For Mobile Ad H...JPN1418  PSR: A Lightweight Proactive Source Routing Protocol For Mobile Ad H...
JPN1418 PSR: A Lightweight Proactive Source Routing Protocol For Mobile Ad H...
 
JPN1417 AASR: An Authenticated Anonymous Secure Routing Protocol for MANETs ...
JPN1417  AASR: An Authenticated Anonymous Secure Routing Protocol for MANETs ...JPN1417  AASR: An Authenticated Anonymous Secure Routing Protocol for MANETs ...
JPN1417 AASR: An Authenticated Anonymous Secure Routing Protocol for MANETs ...
 
JPN1416 Sleep Scheduling for Geographic Routing in Duty-Cycled Mobile Sensor...
JPN1416  Sleep Scheduling for Geographic Routing in Duty-Cycled Mobile Sensor...JPN1416  Sleep Scheduling for Geographic Routing in Duty-Cycled Mobile Sensor...
JPN1416 Sleep Scheduling for Geographic Routing in Duty-Cycled Mobile Sensor...
 
JPN1415 R3E: Reliable Reactive Routing Enhancement for Wireless Sensor Netw...
JPN1415   R3E: Reliable Reactive Routing Enhancement for Wireless Sensor Netw...JPN1415   R3E: Reliable Reactive Routing Enhancement for Wireless Sensor Netw...
JPN1415 R3E: Reliable Reactive Routing Enhancement for Wireless Sensor Netw...
 
JPN1411 Secure Continuous Aggregation in Wireless Sensor Networks
JPN1411   Secure Continuous Aggregation in Wireless Sensor NetworksJPN1411   Secure Continuous Aggregation in Wireless Sensor Networks
JPN1411 Secure Continuous Aggregation in Wireless Sensor Networks
 
JPN1414 Distributed Deployment Algorithms for Improved Coverage in a Networ...
JPN1414   Distributed Deployment Algorithms for Improved Coverage in a Networ...JPN1414   Distributed Deployment Algorithms for Improved Coverage in a Networ...
JPN1414 Distributed Deployment Algorithms for Improved Coverage in a Networ...
 
JPN1413 An Energy-Balanced Routing Method Based on Forward-Aware Factor for...
JPN1413   An Energy-Balanced Routing Method Based on Forward-Aware Factor for...JPN1413   An Energy-Balanced Routing Method Based on Forward-Aware Factor for...
JPN1413 An Energy-Balanced Routing Method Based on Forward-Aware Factor for...
 
JPN1412 Transmission-Efficient Clustering Method for Wireless Sensor Networ...
JPN1412   Transmission-Efficient Clustering Method for Wireless Sensor Networ...JPN1412   Transmission-Efficient Clustering Method for Wireless Sensor Networ...
JPN1412 Transmission-Efficient Clustering Method for Wireless Sensor Networ...
 
JPN1410 Secure and Efficient Data Transmission for Cluster-Based Wireless Se...
JPN1410  Secure and Efficient Data Transmission for Cluster-Based Wireless Se...JPN1410  Secure and Efficient Data Transmission for Cluster-Based Wireless Se...
JPN1410 Secure and Efficient Data Transmission for Cluster-Based Wireless Se...
 
JPN1409 Neighbor Table Based Shortcut Tree Routing in ZigBee Wireless Networks
JPN1409  Neighbor Table Based Shortcut Tree Routing in ZigBee Wireless NetworksJPN1409  Neighbor Table Based Shortcut Tree Routing in ZigBee Wireless Networks
JPN1409 Neighbor Table Based Shortcut Tree Routing in ZigBee Wireless Networks
 
JPN1408 Hop-by-Hop Message Authentication and Source Privacy in Wireless Sen...
JPN1408  Hop-by-Hop Message Authentication and Source Privacy in Wireless Sen...JPN1408  Hop-by-Hop Message Authentication and Source Privacy in Wireless Sen...
JPN1408 Hop-by-Hop Message Authentication and Source Privacy in Wireless Sen...
 
JPN1406 Snapshot and Continuous Data Collection in Probabilistic Wireless S...
JPN1406   Snapshot and Continuous Data Collection in Probabilistic Wireless S...JPN1406   Snapshot and Continuous Data Collection in Probabilistic Wireless S...
JPN1406 Snapshot and Continuous Data Collection in Probabilistic Wireless S...
 
JPN1405 RBTP: Low-Power Mobile Discovery Protocol through Recursive Binary T...
JPN1405  RBTP: Low-Power Mobile Discovery Protocol through Recursive Binary T...JPN1405  RBTP: Low-Power Mobile Discovery Protocol through Recursive Binary T...
JPN1405 RBTP: Low-Power Mobile Discovery Protocol through Recursive Binary T...
 
JPN1404 Optimal Multicast Capacity and Delay Tradeoffs in MANETs
JPN1404 Optimal Multicast Capacity and Delay Tradeoffs in MANETsJPN1404 Optimal Multicast Capacity and Delay Tradeoffs in MANETs
JPN1404 Optimal Multicast Capacity and Delay Tradeoffs in MANETs
 
JPM1410 Images as Occlusions of Textures: A Framework for Segmentation
JPM1410   Images as Occlusions of Textures: A Framework for SegmentationJPM1410   Images as Occlusions of Textures: A Framework for Segmentation
JPM1410 Images as Occlusions of Textures: A Framework for Segmentation
 
JPM1407 Exposing Digital Image Forgeries by Illumination Color Classification
JPM1407   Exposing Digital Image Forgeries by Illumination Color ClassificationJPM1407   Exposing Digital Image Forgeries by Illumination Color Classification
JPM1407 Exposing Digital Image Forgeries by Illumination Color Classification
 

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JPD1431 A QoS-Oriented Distributed Routing Protocol for Hybrid Wireless Networks

  • 1. A QoS-Oriented Distributed Routing Protocol for Hybrid Wireless Networks ABSTRACT: As wireless communication gains popularity, significant research has been devoted to supporting real-time transmission with stringent Quality of Service (QoS) requirements for wireless applications. At the same time, a wireless hybrid network that integrates a mobile wireless ad hoc network (MANET) and a wireless infrastructure network has been proven to be a better alternative for the next generation wireless networks. By directly adopting resource reservation-based QoS routing for MANETs, hybrids networks inherit invalid reservation and race condition problems in MANETs. How to guarantee the QoS in hybrid networks remains an open problem. In this paper, we propose a QoS-Oriented Distributed routing protocol (QOD) to enhance the QoS support capability of hybrid networks. Taking advantage of fewer transmission hops and anycast transmission features of the hybrid networks, QOD transforms the packet routing problem to a resource scheduling problem. QOD incorporates five algorithms: 1) a QoS-guaranteed neighbor selection algorithm to meet the transmission delay requirement, 2) a distributed packet scheduling algorithm to further reduce transmission delay, 3) a
  • 2. mobility-based segment resizing algorithm that adaptively adjusts segment size according to node mobility in order to reduce transmission time, 4) a traffic redundant elimination algorithm to increase the transmission throughput, and 5) a data redundancy elimination-based transmission algorithm to eliminate the redundant data to further improve the transmission QoS. Analytical and simulation results based on the random way-point model and the real human mobility model show that QOD can provide high QoS performance in terms of overhead, transmission delay, mobility-resilience, and scalability. EXISTING SYSTEM: Reservation-based QoS routing protocols have been proposed for MANETs that create routes formed by nodes and links that reserve their resources to fulfill QoS requirements. Although these protocols can increase the QoS of the MANETs to a certain extent. DISADVANTAGES OF EXISTING SYSTEM:  Cannot provide QoS-guaranteed services.  Suffer from invalid reservation and race condition problems .
  • 3.  Invalid reservation problem means that the reserved resources become useless and Race condition problem means a double allocation of the same resource to two different QoS paths. PROPOSED SYSTEM:  In this paper, we propose a QoS-Oriented Distributed routing protocol (QOD) to enhance the QoS support capability of hybrid networks.  Taking advantage of fewer transmission hops and any cast transmission features of the hybrid networks, QOD transforms the packet routing problem to a resource scheduling problem. ADVANTAGES OF PROPOSED SYSTEM:  QOD can provide high QoS performance in terms of overhead, transmission delay, mobility-resilience, and scalability.
  • 4. SYSTEM ARCHITECTURE: SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS:  System : Pentium IV 2.4 GHz.  Hard Disk : 40 GB.  Floppy Drive : 1.44 Mb.  Monitor : 15 VGA Colour.  Mouse : Logitech.  Ram : 512 Mb.
  • 5. SOFTWARE REQUIREMENTS:  Operating system : Windows XP/7.  Coding Language : C#.net  Tool : Visual Studio 2010  Database : SQL SERVER 2008 REFERENCE: Ze Li, and Haiying Shen,“A QoS-Oriented Distributed Routing Protocol for Hybrid Wireless Networks”, IEEE TRANSACTIONS, VOL. 13, NO. 3,MARCH 2014.