TY - GEN
T1 - Survey of Routing Metric in Wireless Mesh Networks
AU - Wang, Yunlong
AU - Yan, Zhongjiang
AU - Yang, Mao
AU - Li, Bo
N1 - Publisher Copyright:
© 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
PY - 2021
Y1 - 2021
N2 - As an important technology in the construction of the next generation wireless communication system, Wireless Mesh Networks (WMNs) has the advantages of high bandwidth, flexible networking, wide coverage and low investment risk. Routing metrics have a great impact on network. Appropriate routing metrics can reduce intra-stream and inter-stream interference, improve throughput and reliability, achieve load balancing and eliminate network hot spots. At present, research on routing metrics for WMNs has made some progress. Relevant scholars have proposed various routing metrics, but no scholars have compared and classified these routing metrics. In this paper, the classical routing metrics in WMNs and the routing metrics proposed in the last ten years are studied. The following conclusions are drawn from these investigations. Firstly, delay, packet loss rate and bandwidth are the most commonly considered factors in routing metrics. Secondly, routing metrics separately describe the types of disturbances that lead to the introduction of variable constants. Thirdly, routing metrics often ignore the choice of gateway nodes. Finally, delay is the most important parameter of routing metrics. For example, the introduction of bandwidth and bottleneck channels is for more accurate calculation of delay. NS3 is used to simulate Hop Routing Metric (HOP) and Distance Routing Metric. The simulation results show that in a small network, Distance Routing Metric can effectively reduce the delay and increase the network throughput.
AB - As an important technology in the construction of the next generation wireless communication system, Wireless Mesh Networks (WMNs) has the advantages of high bandwidth, flexible networking, wide coverage and low investment risk. Routing metrics have a great impact on network. Appropriate routing metrics can reduce intra-stream and inter-stream interference, improve throughput and reliability, achieve load balancing and eliminate network hot spots. At present, research on routing metrics for WMNs has made some progress. Relevant scholars have proposed various routing metrics, but no scholars have compared and classified these routing metrics. In this paper, the classical routing metrics in WMNs and the routing metrics proposed in the last ten years are studied. The following conclusions are drawn from these investigations. Firstly, delay, packet loss rate and bandwidth are the most commonly considered factors in routing metrics. Secondly, routing metrics separately describe the types of disturbances that lead to the introduction of variable constants. Thirdly, routing metrics often ignore the choice of gateway nodes. Finally, delay is the most important parameter of routing metrics. For example, the introduction of bandwidth and bottleneck channels is for more accurate calculation of delay. NS3 is used to simulate Hop Routing Metric (HOP) and Distance Routing Metric. The simulation results show that in a small network, Distance Routing Metric can effectively reduce the delay and increase the network throughput.
KW - NS3
KW - Routing metric
KW - Wireless Mesh Networks
UR - http://www.scopus.com/inward/record.url?scp=85103457788&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-69514-9_25
DO - 10.1007/978-3-030-69514-9_25
M3 - 会议稿件
AN - SCOPUS:85103457788
SN - 9783030695132
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 307
EP - 325
BT - Smart Grid and Internet of Things - 4th EAI International Conference, SGIoT 2020, Proceedings
A2 - Lin, Yi-Bing
A2 - Deng, Der-Jiunn
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th EAI International Conference on Smart Grid and Internet of Things, SGIoT 2020
Y2 - 5 December 2020 through 6 December 2020
ER -