scholarly journals On the benefits of Cross Layer Feedback in Multi-hop Wireless Networks

2008 ◽  
Vol 4 (1) ◽  
Author(s):  
Harkirat Singh
Keyword(s):  
Wireless Networks ◽  
Wireless Channel ◽  
Cross Layer ◽  
Time Varying ◽  
Satisfaction Level ◽  
Channel Conditions ◽  
Time Varying Channel ◽  
Selective Information

Wireless networks operate under harsh and time-varying channel conditions. In wireless networks the time varying channel conditions lead to variable SINR and high BER. The wireless channel is distinct from and more unpredictable than the far more reliable wireline channel. {\em Cross layer feedback} is a mechanism where layers provide {\em selective} information to other layers to boost the performance of wireless networks. {\em Cross layer feedback} can lead to a tremendous increase in the performance of the TCP/IP stack in wireless networks, and an increase in the user's satisfaction level. However, it is possible that naive feedbacks (or optimizations) can work non-coherently; therefore, these can negatively effect the performance of the TCP/IP stack. In this paper, we holistically analyze each layer of the TCP/IP stack, and propose possible Cross layer feedbacks which work coherently. The proposed Cross layer feedbacks can greatly enhance the performance of the TCP/IP stack in wireless networks.

Network Modeling and Performance Analysis under Time-Varying Channel and General Arrival of M2M Services

2013 ◽  
Vol 756-759 ◽  
pp. 2687-2692
Author(s):  
Fu Li ◽  
Xue Fen Chi ◽  
Jia Sheng Zhang ◽  
Xu Dong Li
Keyword(s):  
Queuing Theory ◽  
Performance Metrics ◽  
Wireless Channel ◽  
Buffer Size ◽  
Arrival Process ◽  
General Distribution ◽  
Small Data ◽  
Data Service ◽  
Time Varying ◽  
Time Varying Channel

To investigate and forecast the traffic characteristics of important M2M service--Small data service, we modeled its arrival process and analyzed the effects it has on current wireless network. By simulating service logic and designing traffic generation function of typical M2M small data service on network simulation platform (OPNET), we modeled packet inter-arrival time of M2M aggregate traffic with general distribution Gm. Considering the time-varying feature of wireless channel, MMPP-2 is used to model the service process of WLAN access network. Based on the queuing theory, we solve Gm/MMPP/1/K model under general arrival of M2M small data service and time-varying channel, then we obtained the performance metrics of the queuing system. The results indicate that (1) Hurst parameter of M2M aggregate traffic is approximately estimated as 0.7, (2) M2M small data service has the characteristics of delay-tolerance, as a result, system blocking rate can be effectively reduced by increasing the buffer size in the error-prone wireless environment, this solution is feasible.

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