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Eleana Asimakopoulou

Researcher at University of Derby

Publications -  49
Citations -  1052

Eleana Asimakopoulou is an academic researcher from University of Derby. The author has contributed to research in topics: Emergency management & Mobile ad hoc network. The author has an hindex of 16, co-authored 49 publications receiving 931 citations. Previous affiliations of Eleana Asimakopoulou include National Defence College, India & University of Bedfordshire.

Papers
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Journal ArticleDOI

A survey on multihop ad hoc networks for disaster response scenarios

TL;DR: A survey on multihop ad hoc network paradigms for disaster scenarios highlights their applicability to important tasks in disaster relief operations and discusses the open challenges and the future research directions for each different ad hoc paradigm.
Proceedings ArticleDOI

Towards Simulating the Internet of Things

TL;DR: This study model an IoT use case scenario with regard to monitoring the activities associated with health and extends the functionalities of the SimIC simulation toolkit by adding the IoT layer that incorporates IoT devices which generated data for the private clouds.
Book ChapterDOI

The Role of Ad Hoc Networks in the Internet of Things: A Case Scenario for Smart Environments

TL;DR: A state-of-the-art review on ad hoc and wireless sensor networks, near field communications, radio frequency identification and routing protocols as a mean to describe their applicability towards an Internet of Things realization is offered.
Proceedings ArticleDOI

Buildings and Crowds: Forming Smart Cities for More Effective Disaster Management

TL;DR: This paper focuses on discussing whether crowd sourcing can be facilitated in the contexts of smart buildings and cities in order to support a more effective and efficient integrated disaster management approach.
Journal ArticleDOI

IoTs (Internet of Things) and DfPL (Device-free Passive Localisation) in a disaster management scenario

TL;DR: The aim here is to build upon the patent-pended technology in order to deliver a robust field-trial ready human detection system for disaster situations.