Impact of Upper Layer Adaptation on End-to-end Delay Management in Wireless Ad Hoc Networks

2006 ◽  
Author(s):  
Wenbo He ◽  
K. Nahrstedt
Keyword(s):  
Ad Hoc Networks ◽  
Wireless Ad Hoc Networks ◽  
Ad Hoc ◽  
Delay Management ◽  
End To End Delay ◽  
End To End ◽  
Hoc Networks

scholarly journals Noise-Assisted Concurrent Multipath Traffic Distribution in Ad Hoc Networks

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Narun Asvarujanon ◽  
Kenji Leibnitz ◽  
Naoki Wakamiya ◽  
Masayuki Murata
Keyword(s):  
Ad Hoc Networks ◽  
Wireless Ad Hoc Networks ◽  
Ad Hoc ◽  
Transmission Rate ◽  
Detailed Knowledge ◽  
Distribution Method ◽  
Traffic Distribution ◽  
End To End Delay ◽  
End To End ◽  
Hoc Networks

The concept of biologically inspired networking has been introduced to tackle unpredictable and unstable situations in computer networks, especially in wireless ad hoc networks where network conditions are continuously changing, resulting in the need of robustness and adaptability of control methods. Unfortunately, existing methods often rely heavily on the detailed knowledge of each network component and the preconfigured, that is, fine-tuned, parameters. In this paper, we utilize a new concept, called attractor perturbation (AP), which enables controlling the network performance using only end-to-end information. Based on AP, we propose a concurrent multipath traffic distribution method, which aims at lowering the average end-to-end delay by only adjusting the transmission rate on each path. We demonstrate through simulations that, by utilizing the attractor perturbation relationship, the proposed method achieves a lower average end-to-end delay compared to other methods which do not take fluctuations into account.

scholarly journals Delay analysis of multihop wireless ad hoc network using queuing network model

2013 ◽  
Vol 10 (4) ◽  
pp. 1503-1509
Author(s):  
Seema Kumari ◽  
Dr.M.U. Kharat
Keyword(s):  
Ad Hoc Networks ◽  
Network Model ◽  
Wireless Ad Hoc Networks ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Queuing Network ◽  
Multihop Wireless ◽  
End To End Delay ◽  
End To End ◽  
Hoc Networks

Ad hoc wireless network is a self configurable infrastructure less network. The lack of infrastructure support in ad hoc networks makes them useful in various applications such as at the disaster site, highway, vast forest, battle field, oceans, etc. Since there is no centralized control in ad hoc network, each node can act as a source, a destination or a router. Ad hoc wireless networks therefore, experience congestion more than the wired networks, leading to jitter and high end to end delays even for moderate traffic which may lead to performance degradation. So it is crucial to analyze the factors which affect the capacity and end-to-end delay in wireless ad-hoc networks. In this paper a G/G/1queuing network model is proposed togain insights into the end-to-end delay in a multi hop wireless ad hoc networks. Queuing network model is unique as it providesclosed form expressions for average end-to-end delay in multihop wireless ad hoc networks. NS2 simulation is conducted in order to verify  and compare the theoretical results.

Enhanced End-to-End TDMA for wireless ad-hoc networks

2007 ◽  
Author(s):  
D. J. Vergados ◽  
M. Koutsogiannaki ◽  
D. D. Vergados ◽  
V. Loumos ◽  
N. Pantazis
Keyword(s):  
Ad Hoc Networks ◽  
Wireless Ad Hoc Networks ◽  
Ad Hoc ◽  
End To End ◽  
Hoc Networks
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