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| Content Provider | Springer Nature Link |
|---|---|
| Author | Busson, Anthony Chelius, Guillaume |
| Copyright Year | 2013 |
| Abstract | The relative location of simultaneous transmitters, i.e. the set of nodes transmitting a frame at a given time, has a crucial impact on the performance of multi hop wireless networks. Two fundamental aspects of wireless network performances are related to these locations: capacity and interference. Indeed, as interference results from the summation of signals stemmed by concurrent transmitters, it directly depends on the transmitters’ location. On the other hand, the network capacity is proportional to the number of simultaneous transmitters. In this paper, we investigate original point processes that can be used to model the location of transmitters that comply with the CSMA/CA policies, i.e. the Medium Access Control protocol used in 802.15.4 and 802.11 families of wireless technologies. We first propose the use of the Simple Sequential Inhibition point process to model CSMA/CA networks where clear channel assessment depends on the strongest emitter only. We then extend this point process to model a busy medium detection based on the strength of all concurrent signals. We finally compare the network capacity obtained through realistic simulations to a theoretical capacity estimated using the intensity of the SSI point process. It turns out that the proposed model is validated by the simulations. |
| Starting Page | 25 |
| Ending Page | 39 |
| Page Count | 15 |
| File Format | |
| ISSN | 10184864 |
| Journal | Telecommunication Systems |
| Volume Number | 57 |
| Issue Number | 1 |
| e-ISSN | 15729451 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2013-07-31 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Multi hop wireless networks Network capacity Interference modeling SSI point process Business Information Systems Computer Communication Networks Artificial Intelligence (incl. Robotics) Probability Theory and Stochastic Processes |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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