Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/43003
Title: QoT aware load balancing routing in manet using relay type of amplify and forward based cooperative communications
Authors: Le, Huu Binh
Vo, Thanh Tu
Nguyen, Van Tam
Keywords: MANET using AF
QoT aware routing
Load balancing routing
Issue Date: 2020
Series/Report no.: Journal of Computer Science and Cybernetics;Vol. 36, No. 03 .- P.251–263
Abstract: In research topics to improve the performance of the mobile ad hoc networks (MANET), the load balancing routing has attracted many research groups because it is an e ective solution to reduce trac congestion. However, to balance the traffic load, the routing algorithm often has to choose some long routes. These routes pass through many hops and intermediate nodes, so the accumulated noise along with the route increases. As a result, the quality of transmission (QoT) of data transmission routes decreases, especially in the case of MANET using the relay type of amplify-and-forward (AF), where the noise power can be amplied at intermediate nodes. Therefore, it is necessary to study the QoT aware load balancing routing algorithms. In this paper, we focus on inves-tigating the QoT in the MANET using AF and propose a load balancing routing algorithm under theconstraint of the QoT. The proposed algorithm is improved from the new route discovery algorithm of the on-demand routing protocol. Our idea is to combine the operation of the route request and reply packets to collect the information of the traffic load and QoT from source to destination, used for the objective and the constraints of selecting a new route. Our evaluation by simulation method has shown that the proposed algorithm can improve the network performance in terms of the QoT, packet loss probability, and network throughput compared with the original routing algorithms.
URI: https://dspace.ctu.edu.vn/jspui/handle/123456789/43003
ISSN: 1813-9663
Appears in Collections:Tin học và Điều khiển học (Journal of Computer Science and Cybernetics)

Files in This Item:
File Description SizeFormat 
_file_
  Restricted Access
2.88 MBAdobe PDF
Your IP: 54.234.191.202


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.