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Content Provider | IEEE Xplore Digital Library |
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Author | Subramanian, R. Vellambi, B.N. Fekri, F. |
Copyright Year | 2009 |
Description | Author affiliation: School of ECE, Georgia Institute of Technology, Atlanta, 30332-0250, USA (Subramanian, R.; Vellambi, B.N.; Fekri, F.) |
Abstract | Consider a mobile network wherein nodes are confined to move and communicate in a given area. The network is assumed to be sparse, wherein a direct communication path from a source node via multiple hops to a destination node almost never exists. The nodes resort to storing, carrying, and forwarding packets when a contact occurs, as a means of communication. This paper investigates the question of computing the throughput capacity of the resulting network, in other words, the rate at which a source node can send packets to a destination node using the other nodes in the network as relays. It proposes an accurate generalized framework valid for any mobility model that exhibits stationarity. The framework uses the embedded Markov-Chain approach using which the capacity of such a network can be accurately determined by computing certain well-defined characteristic parameters from the mobility model. Constraints posed by limited node storage and contention between nodes for the wireless channel are also considered in order to obtain a realistic model for the throughput. The paper also illustrates the proposed framework under two specific cases: the random walk, random waypoint, and restricted random waypoint mobility models, and validates the same using simulations. |
Starting Page | 1 |
Ending Page | 10 |
File Size | 5722737 |
Page Count | 10 |
File Format | |
ISBN | 9781424449194 |
DOI | 10.1109/WIOPT.2009.5291630 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-06-23 |
Publisher Place | South Korea |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Disruption tolerant networking Wireless networks Spine Wildlife Throughput Routing Mobile communication Ad hoc networks Computer networks Relays |
Content Type | Text |
Resource Type | Article |
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