A fair QoS multicast routing mechanism in mobile wireless Internet

Author(s):  
X.W. Wang
Author(s):  
Xingwei Wang ◽  
Bo Song ◽  
Changqing Yuan ◽  
Huang Min

2021 ◽  
Vol 20 (Supp01) ◽  
pp. 2140010
Author(s):  
Jacob John ◽  
S. Sakthivel

In several Internet of Things (IoT) applications, messages are disseminated to some objects or nodes based on multicast transmissions. However, previous multicast routing schemes in IoT focussed mainly on the ad-hoc sensor network, but they are not robust and responsive in the IoT environment. Hence, this paper introduces the multicast routing protocol based on the proposed optimisation algorithm, named Brain Storm Water Optimisation (BSWO), in the IoT network. By the multicast routing protocol, the multicast path is designed from a multicast source node to various destinations. The multicast source node forwards packet to multiple destinations simultaneously. Initially, the nodes in the IoT network are simulated together and perform the multicast routing process effectively using the proposed optimisation framework. The multicast routing protocol performs the multicast routing mechanism using the multiobjective factors, such as distance, delay, energy, link-quality factor and trust. The multicast routing path is effectively chosen based on the developed BSWO through fitness measures. The proposed BSWO is designed by integrating the Brain Storm Optimisation (BSO) and Water Wave Optimisation (WWO), respectively. The path with the minimum distance is selected as an optimal path using the fitness parameters like delay, distance, trust, energy and link-quality factor. The proposed optimisation algorithm effectively performs the multicast routing mechanism by integrating the parametric features from both the optimisation algorithms. Once the multicast routing mechanism is done, the route maintenance process is carried out in the simulated IoT network to recover the link breakage. The proposed BSWO outperformed other methods with the minimal delay of 0.0682[Formula: see text]s, minimal average routing distance of 178.4[Formula: see text]m, maximal energy of 39.59[Formula: see text]J, maximal throughput of 87.75% and maximal trust of 90%, respectively.


Author(s):  
H. Santhi ◽  
N. Jaisankar

Wireless Mesh Networks (WMNs) is becoming an emerging paradigm, due to its simple and cost effective deployment, and increased growth in popularity for the next generation wireless Internet. Unlike the single channel, it is challenging to provision a robust multicasting by means of multi-channel and multi-interface WMNs. Therefore, in order to tackle the multicast issues, a high-quality path selection and channel assignment are essential. The proposed Quality of Service – On Demand Multichannel Multicast Routing Protocol (QoS- ODMMRP) includes merged path selection and top-down channel tuning mechanism to support multi-channel and multi-interface WMNs. Thus, the proposed work reduces the number of transmissions and increases the communication throughput efficiently.


2014 ◽  
Vol 599-601 ◽  
pp. 851-855
Author(s):  
Zhen Yu Zhang ◽  
Shao Jie Wen ◽  
Wen Zhong Yang

Energy-efficient is one of the main problems among all the problems in mobile wireless sensor networks, for improving the energy efficiency of the nodes in the multicast environment and complete the communication works with the minimum cost, we present a based on energy-efficient opportunistic multicast routing for mobile wireless sensor networks. In order to increase the reliability of links, we use opportunistic routing and collaboration mechanism to realize the routing method, and then use the path aggregation to reduce the energy consumption of the whole network. The results of simulation show that, the method presented in this paper is effective in reducing the consumption of links cost.


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