Minimizing End-to-End Delay on Real-Time Applications

被引:0
作者
Tapas Kumar Mishra
Sachin Tripathi
机构
[1] National Institute of Science and Technology,
[2] Indian Institute of Technology,undefined
[3] (Indian School of Mines),undefined
来源
Wireless Personal Communications | 2019年 / 107卷
关键词
End to end delay; Flow control; Packet scheduling; Energy efficiency; Real time systems;
D O I
暂无
中图分类号
学科分类号
摘要
In real time communication system, packets of lower prioritized flows suffer a longer queuing delay than the packets having higher priority. As a result, they reach at the destination in a long end-to-end delay and become less useful. In this paper, we have proposed a real time packet scheduling technique to minimize overall end-to-end delay among multiple flows. Here, elapsed time plays a major role to calculate priority of a packet. The packets, already spent a long queuing delay are re-assigned to lower priority. Also, the model reduces the priority of the higher prioritized packets when they are very early and approaching to the destination node. This model gives more importance to middle aged packets (neither too early nor too late with respect to packet creation and deadline of packet receiving) so that they can reach the destination within time bound. The model is experimented using NS-2 and performance has been compared with other queuing policies. Performance evaluation of this model exhibits moderated end-to-end latency of the flows and works more efficiently than other techniques.
引用
收藏
页码:41 / 55
页数:14
相关论文
共 80 条
[1]  
Rathnayaka AD(2013)Wireless sensor network transport protocol: A critical review Journal of Network and Computer Applications 36 134-146
[2]  
Potdar VM(2017)End-to-end backlog and delay bound analysis for multi-hop vehicular ad hoc networks IEEE Transactions on Wireless Communications 16 6808-6821
[3]  
Hu Y(2004)Wireless sensor and actor networks: Research challenges Ad Hoc Networks 2 351-367
[4]  
Li H(2007)On the cross-layer interactions between congestion and contention in wireless sensor and actor networks Ad Hoc Networks 5 897-909
[5]  
Chang Z(2007)A survey on wireless multimedia sensor networks Computer Networks 51 921-960
[6]  
Han Z(2016)Multi-objective optimization in sensor networks: Optimization classification, applications and solution approaches Computer Networks 99 134-161
[7]  
Akyildiz IF(2016)Performance evaluation of openflow-based software-defined networks based on queueing model Computer Networks 102 172-185
[8]  
Kasimoglu IH(2016)Minimizing end-to-end delays in linear multi-hop networks IEEE Transactions on Vehicular Technology 65 6487-6496
[9]  
Gungor VC(2005)Event-to-sink reliable transport in wireless sensor networks IEEE/ACM Transactions on Networking (TON) 13 1003-1016
[10]  
Vuran MC(2001)Atcp: Tcp for mobile ad hoc networks IEEE Journal on Selected Areas in Communications 19 1300-1315