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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Desai, M. Manjunath, D. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Electr. Eng., Indian Inst. of Technol., Bombay, India (Desai, M.; Manjunath, D.) |
| Abstract | Suppose that V = {v/sub 1/, v/sub 2/, ...v/sub n/} is a set of nodes randomly (uniformly) distributed in the d dimensional cube [0, x/sub 0/]/sup d/, and W = {w(i, j) > 0 : 1 /spl les/ i, j /spl les/ n} is a set of numbers chosen so that w(i, j) = w(j, i) = w(j, i). Construct a graph G/sub n,d,W/ whose vertex set is V, and whose edge set consists of all pairs {u/sub i/, u/sub j/} with /spl par/ u/sub i/ - u/sub j/ /spl par/ /spl les/ w(i, j). In the wireless network context, the set V is a set of labeled nodes in the network and W represents the maximum distances between the node pairs for them to be connected. We essentially address the following question: "if G is a graph with vertex set V, what is the probability that G appears as a subgraph in G/sub n,d,W/?" Our main contribution is a closed form expression for this probability under the l/sub /spl infin// norm for any dimension d and a suitably defined probability density function. As a corollary to the above answer, we also answer the question, "what is the probability that Q/sub n,d,W/ is connected?". |
| Sponsorship | Create-Net INRIA IFIP acm IEEE |
| Starting Page | 190 |
| Ending Page | 196 |
| File Size | 342463 |
| Page Count | 7 |
| File Format | |
| ISBN | 076952267X |
| DOI | 10.1109/WIOPT.2005.33 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-04-03 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intelligent networks Solid modeling Upper bound Wireless networks Ad Hoc Networks Probability density function Geometric Random Graphs Ad hoc networks Range Matrices |
| Content Type | Text |
| Resource Type | Article |
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