Abstract | ||
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In recent years, Spatial Wireless Ad Hoc (SWAH) networks constructed in the near spatial region by connecting various pieces of spatial and ground communication equipment have become the focus for developing future information networks. Due to their special characteristics, the traditional routing protocols in fixed networks and ad hoc networks cannot be used directly in SWAH networks. Therefore, the design of a special routing protocol for SWAH networks has become a challenge. In this paper, we propose a new Hybrid On-demand Distance Vector Multi-path (HODVM) routing protocol that divides the SWAH networks into backbone and non-backbone networks to perform static routing and dynamic routing, respectively. To provide load balancing, HODVM can adaptively establish and maintain multiple node-disjoint routes by multi-path routing. Simulation results show that, compared to traditional routing protocol, HODVM not only has better performance in terms of scalability and survivability but can also balance the network load well. |
Year | DOI | Venue |
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2012 | 10.1016/j.compeleceng.2011.11.013 | Computers & Electrical Engineering |
Keywords | Field | DocType |
near spatial region,special routing protocol,load balancing,dynamic routing,network load,multi-path routing,spatial wireless ad hoc,static routing,traditional routing protocol,special characteristic,swah network | Link-state routing protocol,Dynamic Source Routing,Computer science,Static routing,Computer network,Destination-Sequenced Distance Vector routing,Wireless Routing Protocol,Ad hoc wireless distribution service,Optimized Link State Routing Protocol,Zone Routing Protocol,Distributed computing | Journal |
Volume | Issue | ISSN |
38 | 3 | 0045-7906 |
Citations | PageRank | References |
19 | 0.92 | 27 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lei Guo | 1 | 564 | 82.56 |
Lincong Zhang | 2 | 37 | 3.58 |
Yuhuai Peng | 3 | 95 | 7.99 |
Jingjing Wu | 4 | 38 | 4.87 |
Xiaoying Zhang | 5 | 26 | 1.39 |
Weigang Hou | 6 | 161 | 22.87 |
Jun Zhao | 7 | 1657 | 101.54 |