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A QoS-Oriented Distributed Routing 
Protocol for Hybrid Wireless Networks 
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 
Ambit lick Solutions 
Mail Id: Ambitlick@gmail.com , Ambitlicksolutions@gmail.Com
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. 
Ambit lick Solutions 
Mail Id: Ambitlick@gmail.com , Ambitlicksolutions@gmail.Com

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A qos oriented distributed routing protocol for hybrid wireless networks

  • 1. A QoS-Oriented Distributed Routing Protocol for Hybrid Wireless Networks 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 Ambit lick Solutions Mail Id: Ambitlick@gmail.com , Ambitlicksolutions@gmail.Com
  • 2. 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. Ambit lick Solutions Mail Id: Ambitlick@gmail.com , Ambitlicksolutions@gmail.Com