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WMN (wireless mesh network) is a useful wireless multihop network with tremendous research value. The routing strategy decides the performance of network and the quality of transmission. A good routing algorithm will use the whole bandwidth of network and assure the quality of service of traffic. Since the routing metric ETX (expected transmission...
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Citations
... Expected transmission count (ETX) is a routing metric that cannot reproduce links quality rapidly thus to deal with this location an OR compound with long and shortterm measurement for WMN. However, this scheme cannot detect the malicious node in WMN (Sun et al. 2014). ...
Opportunistic routing (OR) is a novel challenging idea that has been designed for the wireless mesh network (WMN). This routing strategy captured the attention of numerous researchers due to its intense performance encountered in WMN. Broadcast characteristics of OR lead to performance enhancement in WMN. It possesses the ability to overhear packet transmission and accomplishing coordination between the relay nodes. In this paper, a reliable opportunistic routing scheme with bandwidth guarantee for multimedia wireless mesh networks (RORBG) scheme for multimedia WMN is proposed. This strategy is capable of recognizing various attacks like a black hole, grey hole, and denial of service attacks proficiently. The important pertains to treat the overhead and the latency of transmitting the data packet. In this scheme, we establish a node honesty rate to distinguish malicious behaviour and give assurance bandwidth. The expected available bandwidth (EAB) is computed by the local available bandwidth. Moreover, the forwarder candidate node is selected based on the bandwidth as well as the communication quality factor. This scheme grants to attain forwarder candidate selection procedure and coordination methods are a helping to improve the WMN execution along with efficient packet delivery. The application of RORBG is army and traffic management. The simulation results illustrate that RORBG scheme increases the 12.17% throughput and 16.81% delay minimization compare to the baseline routing protocols in WMN.
... In [33] it is shown that OLSR can be efficiently used to deploy WMNs over long distances supporting traffic of emergency critical applications in case of natural disasters. In [34] a routing algorithm based on OLSR for finding the best routes according the quality of WiFi links was presented. The simulation results are better than using the Expected Transmission Count metric, but they do not show that this will be optimal for dense networks. ...
Ubiquitous sensing allows smart cities to take control of many parameters (e.g., road traffic, air or noise pollution levels, etc.). An inexpensive Wireless Mesh Network can be used as an efficient way to transport sensed data. When that mesh is autonomously powered (e.g., solar powered), it constitutes an ideal portable network system which can be deployed when needed. Nevertheless, its power consumption must be restrained to extend its operational cycle and for preserving the environment. To this end, our strategy fosters wireless interface deactivation among nodes which do not participate in any route. As we show, this contributes to a significant power saving for the mesh. Furthermore, our strategy is wireless-friendly, meaning that it gives priority to deactivation of nodes receiving (and also causing) interferences from (to) the rest of the smart city. We also show that a routing protocol can adapt to this strategy in which certain nodes deactivate their own wireless interfaces.
Wireless Mesh Network (WMN) provides multi-hop and multi-path communication by deploying network nodes in form of mesh topology and grasps the attention of research community and industry due to its features like self-healing and self-organizing etc. In multi-hop networks, bandwidth efficiency degrades with the increase in number of intermediate nodes. In this paper, we present a novel encoding scheme at data link layer with the characteristic of cut-through switch. By using the proposed technique, we can increase throughput by reducing re-transmissions in the network. We have verified our proposed method by simulation in NS3. The simulation results indicate that in-spite of high interference, we can achieve improved throughput and less delay with proposed model.
