Name
Abstract | ||
|---|---|---|
The sensors at the first-hop from the base station limit the network lifetime of a uniformly deployed Wireless Sensor Networks (WSN). That is because all the other nodes rely on them to forward their traffic to the base station; which eventually results in "energy hole" problem. Normal distribution is considered as a promising solution for this problem. Thus, in this paper we focus on studying the effect of the normal distribution deployment variations on the network performance. We selected the coverage performance metric, which is considered as one of the most important Quality of Service metrics in WSN. We derive an equation that can be used to get the best distribution parameters (σx, σy), standard deviations, using our proposed approximation approach called equivalent square method (ESM). Our model is verified using previous reliable published results. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICIS.2018.8466476 | 2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) |
Keywords | Field | DocType |
Wireless sensor networks,WSN,Normal distribution,Energy hole,Modeling,Coverage probability | Base station,Normal distribution,Software deployment,Computer science,Performance metric,Quality of service,Real-time computing,Wireless sensor network,Standard deviation,Network performance | Conference |
ISBN | Citations | PageRank |
978-1-5386-5893-2 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anas Al-Roubaiey | 1 | 52 | 8.49 |
| Basheer Al-Gohi | 2 | 0 | 0.34 |