Network controlled distributed energy management system for smart cities

Singh, Abhishek; Kumar, Anuj; Kumar, Ashok

doi:10.1109/ccintels.2016.7878238

Cited by 4 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [20], the authors want to improve the management of electrical energy coming from several renewable sources by controlling dynamic parameters of distribution lines and accumulators. The paper gives little detail of the infrastructure used, and concentrates on end user applications and sensors.…”

Section: Brief Survey Of Research Papers On Low-cost Iotmentioning

confidence: 99%

Low-Cost IoT: A Holistic Approach

Ciuffoletti

2018

JSAN

View full text Add to dashboard Cite

Abstract:The key factors for a successful smart-city project are its initial cost and its scalability. The initial cost depends on several inter-related aspects that cannot be designed and optimized separately. After the pilot deployment, scaling-up takes place only if the cost remains affordable: an initial financial support may induce dependencies from technologies that become unsustainable in the long period. In addition, the initial adoption of an emerging technology that fails to affirm may jeopardize investment return. This paper investigates a smart-village use case, the success of which strongly depends on the initial cost and scalability, exploring a low-cost way for Internet of Things (IoT). We propose a simple conceptual framework for cost evaluation, and we verify its effectiveness with an exhaustive use case: a prototype sensor designed and tested with its surrounding eco-system. Using experimental results, we can estimate both performance and cost for a pilot system made of fifty sensors deployed in an urban area. We show that such cost grows linearly with system size, taking advantage of widely adopted technologies. The code and the design of the prototype are available, so that all steps are reproducible.

show abstract

Section: Brief Survey Of Research Papers On Low-cost Iotmentioning

confidence: 99%