http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Bouguettaya, Athman (검색결과 1 건)
- 무료
- 기관 내 무료
- 유료
-
ENERGENT: An Energy-Efficient UAV-Assisted Fog-IoT Framework for Disaster Management
Shirin Abkenar, Forough,Iranmanesh, Saeid,Bouguettaya, Athman,Raad, Raad,Jamalipour, Abbas 한국통신학회 2022 Journal of communications and networks Vol.24 No.6
In this paper, we propose ENergy-efficient disastERmanaGmENT (ENERGENT) as a novel framework for disastermanagement in the unmanned aerial vehicle (UAV)-assisted Fog-Internet of things (IoT) networks. ENERGENT optimizes theenergy consumption of the terminal nodes (TNs), as well asthe UAVs, using three proposed algorithms. The first algorithmoptimally adjusts the 3D placement of the UAVs such that thesenodes consume the minimum energy to reach the desired clusterof the TNs. Besides, the transmit power and the transmissionrate of the TNs are set in a way that their energy consumptionis minimized and the outage probability requirements are metin the network. In the second algorithm, we propose an optimaltask offloading scheme where tasks are offloaded to the UAVsin order to meet the network delay constraints. Finally, thethird algorithm takes advantage of wireless power transfer totransfer energy to the TNs when their remaining energy degradesa predefined threshold. This scheme guarantees a minimumthroughput for all TNs within a cluster by which the totalnetwork throughput is maximized. Simulation results revealthat ENERGENT outperforms the existing methods in terms ofoptimized network energy consumption, delay, and throughput.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
