DARE: Distributed Autonomous and Resilient Emergency Management System

DARE：分布式自治和弹性应急管理系统

• 批准号: EP/P028764/1
• 负责人: Rahim Tafazolli
• 金额: $ 152.08万
• 依托单位: University of Surrey
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FP028764%2F1
• 关键词: DARE; Distributed; Autonomous; Resilient; Emergency

Critical infrastructures serve as the pillars for the nation's economy, security and health programmes and include assets, systems, and networks spanning a significant breadth of the its geographical area. In the event of a potential destruction to these infrastructures by either man-made or natural disasters, it is of paramount importance to implement an appropriate emergency management system (EMS) capable of handling or preventing such catastrophes. A key feature in an EMS is an effective and efficient critical communication platform that provides situational awareness and coordination. However, the current communication platforms for EMS are susceptible to being incapacitated or destroyed by the disaster or the network congestion that arise as a result of such disaster. Furthermore, current platforms are human-in-the-loop based, requiring substantial human resources and cost for surveillance, preparation and actuation in case of emergencies. In the light of this, the aim of the project is to conduct advanced research into a new Distributed Autonomous and Resilient EMS; referred here as DARE. The DARE architecture will support all phases of the EMS and will be founded upon three main communication platforms that are Wireless Sensor networks (WSNs), Ad-hoc networks and Future cellular networks (5G and beyond). As part of this research project, we will incorporate an autonomous i.e. self-governed, self-healing disaster/network failure detection mechanism to reduce the cost of control signalling traffic associated with the traditional disaster/network failure detection mechanisms which require frequent network probes and network alarms.Investigators from the University of Surrey, University of Glasgow, Kingston University and the University of Malaya, Malaysia will work with leading communications and critical solutions provider like Ubitech Ltd, BT, Telefonica and Huawei to ensure that maximum impact arises from this program.

关键基础设施是国家经济、安全和卫生方案的支柱，包括横跨世界各地的资产、系统和网络。如果这些基础设施可能受到人为或自然灾害的破坏，最重要的是实施能够处理或预防这类灾难的适当应急管理系统。EMS的一个关键特征是提供态势感知和协调的有效和高效的关键通信平台。然而，目前EMS的通信平台很容易因灾难或由这种灾难引起的网络拥堵而丧失能力或被摧毁。此外，目前的平台是以人在回路为基础的，需要大量人力资源和费用，以便在紧急情况下进行监测、准备和启动。有鉴于此，该项目的目标是对新的分布式自主和有弹性的EMS进行高级研究；这里称为DARE。DARE架构将支持EMS的所有阶段，并将建立在三个主要通信平台上，即无线传感器网络(WSNs)、ad-hoc网络和未来蜂窝网络(5G及以后)。作为这一研究项目的一部分，我们将整合一个自主的、自治的、自我修复的灾难/网络故障检测机制，以降低与传统灾难/网络故障检测机制相关的控制信令流量的成本，这些机制需要频繁的网络探测和网络警报。来自萨里大学、格拉斯哥大学、金斯敦大学和马来西亚马来亚大学的研究人员将与领先的通信和关键解决方案提供商如Ubitech有限公司、BT、Telefonica和华为合作，以确保该计划产生最大影响。

项目成果

Maximum Likelihood Optimization of Adaptive Asynchronous Interference Mitigation Beamformer

自适应异步干扰抑制波束形成器的最大似然优化

• 作者: A M Kuzminskiy

Load-Aware Cell Switching in Ultra-Dense Networks: An Artificial Neural Network Approach

超密集网络中的负载感知单元切换：一种人工神经网络方法

• DOI: 10.1109/ucet51115.2020.9205365
• 发表时间: 2020
• 作者: Abubakar A

Game-theoretic power allocation algorithm for downlink NOMA cellular system

• DOI: 10.1049/el.2019.2095
• 发表时间: 2019-12-12
• 期刊: ELECTRONICS LETTERS
• 影响因子: 1.1
• 作者: Aldebes, R.;Dimyati, K.;Hanafi, E.
• 通讯作者: Hanafi, E.

Channel Access and Power Control for Energy-Efficient Delay-Aware Heterogeneous Cellular Networks for Smart Grid Communications Using Deep Reinforcement Learning

• DOI: 10.1109/access.2019.2939827
• 发表时间: 2019-01-01
• 期刊: IEEE ACCESS
• 影响因子: 3.9
• 作者: Asuhaimi, Fauzun Abdullah;Bu, Shengrong;Imran, Muhammad Ali
• 通讯作者: Imran, Muhammad Ali

Revenue Maximization through Cell Switching and Spectrum Leasing in 5G HetNets

• DOI: 10.1109/access.2022.3172280
• 发表时间: 2021-08
• 期刊: IEEE Access
• 影响因子: 3.9
• 作者: A. Abubakar;C. Öztürk;Metin Öztürk;Michael S. Mollel;S. M. Asad;N. Hassan;S. Hussain;M. Imran