Greedy Routing by Network Distance Embedding

Autor: Chen Qian, Simon S. Lam
Rok vydání: 2016
Předmět:
Routing protocol
Dynamic Source Routing
Computer Networks and Communications
Computer science
Equal-cost multi-path routing
Routing table
Distributed computing
Enhanced Interior Gateway Routing Protocol
Wireless Routing Protocol
Geographic routing
02 engineering and technology
Metrics
Network topology
Hop (networking)
Routing Information Protocol
Computer Science::Networking and Internet Architecture
0202 electrical engineering
electronic engineering
information engineering

Destination-Sequenced Distance Vector routing
Electrical and Electronic Engineering
Hierarchical routing
Static routing
Zone Routing Protocol
Wireless network
business.industry
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
020208 electrical & electronic engineering
Policy-based routing
Path vector protocol
020206 networking & telecommunications
Computer Science Applications
Distance-vector routing protocol
Optimized Link State Routing Protocol
Routing domain
Link-state routing protocol
Multipath routing
Hazy Sighted Link State Routing Protocol
business
Software
Computer network
Zdroj: IEEE/ACM Transactions on Networking. 24:2100-2113
ISSN: 1558-2566
1063-6692
Popis: Greedy routing has been applied to both wireline and wireless networks due to its scalability of routing state and resiliency to network dynamics. In this work, we solve a fundamental problem in applying greedy routing to networks with arbitrary topologies, i.e., how to construct node coordinates such that greedy routing can find near-optimal routing paths for various routing metrics. We propose Greedy Distance Vector (GDV), the first greedy routing protocol designed to optimize end-to-end path costs using any additive routing metric, such as: hop count, latency, ETX, ETT, etc. GDV requires no physical location information. Instead, it relies on a novel virtual positioning protocol, VPoD, which provides network distance embedding. Using VPoD, each node assigns itself a position in a virtual space such that the Euclidean distance between any two nodes in the virtual space is a good estimate of the routing cost between them. Experimental results using both real and synthetic network topologies show that the routing performance of GDV is better than prior geographic routing protocols when hop count is used as metric and much better when ETX is used as metric. As a greedy routing protocol, the routing state of GDV per node remains small as network size increases. We also show that GDV and VPoD are highly resilient to dynamic topology changes.
Databáze: OpenAIRE