پیوندهای مفید
آمار
| تعداد نشریات | 21 |
| تعداد شمارهها | 679 |
| تعداد مقالات | 9,900 |
| تعداد مشاهده مقاله | 70,094,902 |
| تعداد دریافت فایل اصل مقاله | 49,419,258 |
Cognitive Radio Platforms for Disaster Response Networks : Survey | ||
| International Journal of Nonlinear Analysis and Applications | ||
| دوره 11، Special Issue، بهمن 2020، صفحه 169-182 اصل مقاله (981.21 K) | ||
| نوع مقاله: Review articles | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2020.4577 | ||
| نویسندگان | ||
| Khaled F. AlAqad* ؛ M.A. Burhanuddin؛ Norharyati Binti Harum* | ||
| Faculty of Information & Communication Technology, Universiti Teknikal Malaysia, Melaka, Malaysia | ||
| تاریخ دریافت: 20 بهمن 1398، تاریخ بازنگری: 16 اردیبهشت 1399، تاریخ پذیرش: 24 اردیبهشت 1399 | ||
| چکیده | ||
| Either natural or man-made a disaster is defined as unexpected destructive event that causes damages and malfunction of existing systems and services all around the disaster area, these destructive effects are unfortunately beyond the capability of local authorities to recover and respond immediately, the disaster recovery plans are immediately initiated so that rescue and aid operations can help those who are trapped in disaster area to survive, those efforts need to be controlled and coordinated with reliable communication systems that are more likely partially or fully disabled due to the disaster, the capabilities of cognitive radio technology enables it to play a significant role in providing efficient communication services for the rescue teams and headquarters as well as trapped victims, in this paper, we survey the cognitive radio architectures that can replace the Software Defined Radio SDR in order to reduce the network expenses in terms of network size and network computational complexity . | ||
| کلیدواژهها | ||
| Cognitive radio؛ disaster response networks؛ cognitive radio platform | ||
|
آمار تعداد مشاهده مقاله: 16,494 تعداد دریافت فایل اصل مقاله: 7,715 |
||