Title
Routing Algorithm For Supporting Data-Differentiated Service In Hybrid Wireless Mesh Networks In Underground Mines
Abstract
Hybrid wireless mesh networks are more suitable to tunnels in underground mines because mesh clients can perform the routing functionality and provide end-user applications. Types of data transmitted among hybrid wireless mesh networks in underground mines are diverse and power supply of clients is limited. Using virtual potential field, a routing algorithm is proposed to support data-differentiated service in hybrid wireless mesh networks. Based on network parameters, the hybrid wireless mesh networks are abstracted as potential fields. The hop count is used to build the depth potential field. The residual energy of nodes is converted into penalty factor to symbolize the used buffer spaces of nodes, which is used to construct resource potential field to support different types of data. According to the different demands of data transmission, the proportion of these two potential fields is adjusted by a regulatory factor to form a hybrid potential field. The data packets are driven to move toward the gateway in the hybrid potential field at the same time to achieve high quality of service. Simulation results demonstrate that the proposed routing algorithm has shown better performance on end-to-end delay, delivery ratio, and network lifetime, compared with similar algorithms.
Year
DOI
Venue
2018
10.1177/1550147718812024
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Keywords
Field
DocType
Hybrid wireless mesh networks, routing algorithm, data-differentiated service, underground mine, quality of service
Data transmission,Computer science,Network packet,Quality of service,Computer network,Differentiated service,Data type,Hop (networking),Wireless mesh network,Routing algorithm,Distributed computing
Journal
Volume
Issue
ISSN
14
11
1550-1477
Citations 
PageRank 
References 
0
0.34
11
Authors
6
Name
Order
Citations
PageRank
Haifeng Jiang177134.60
Liansheng Lu200.68
Guangzhi Han301.01
he wang41511.58
Shan-shan Ma541.45
Renke Sun6243.20