Towards an IoT based water management system for a campus

Verma, Prachet; Kumar, Akshay; Rathod, Nihesh; Jain, Pratik; Mallikarjun, Sachinkumar Bavikatti; Subramanian, Renu; Amrutur, Bharadwaj; Kumar, M.Santhosh; Sundaresan, Rajesh

doi:10.1109/isc2.2015.7366152

Cited by 56 publications

(22 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…• Ref. [17] uses the GPRS infrastructure to deliver data obtained by low-cost sensors. The authors tackle the goal of using low-cost sensors, which dominate other costs in these kinds of applications.…”

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%

Low-Cost IoT: A Holistic Approach

Ciuffoletti

2018

JSAN

View full text Add to dashboard Cite

show abstract

“…That work used an off-the -shelf ultrasonic sensor HC-SR04 [7]which is mounted at the top of the tank. It sends so much ultrasound pulses at 40 KHz towards the water surface and measures the time to receive the reflected waves by sensing when the reflected edge crosses a threshold.…”

Section: Related Workmentioning

confidence: 99%

Iot Based Water Monitoring System:a Review

2017

IJAERD

View full text Add to dashboard Cite

“…The IoT network is anticipated to be the key for the realization of this kind of smart city [7]. For example, for the efficient use of water resources, the city water management department should be able to access the weather forecast information so that it can hold the process of watering plants based on the rain forecast to save a significant amount of water [8,9]. We consider that our proposed IoTs framework is an integral part of the smart city, which monitors an environment and routs the monitored data to a central place for better management of the city.…”

Section: Related Workmentioning

confidence: 99%

Optimized Energy Harvesting, Cluster-Head Selection and Channel Allocation for IoTs in Smart Cities

Aslam

Hasan

Jang

et al. 2016

Sensors

View full text Add to dashboard Cite

This paper highlights three critical aspects of the internet of things (IoTs), namely (1) energy efficiency, (2) energy balancing and (3) quality of service (QoS) and presents three novel schemes for addressing these aspects. For energy efficiency, a novel radio frequency (RF) energy-harvesting scheme is presented in which each IoT device is associated with the best possible RF source in order to maximize the overall energy that the IoT devices harvest. For energy balancing, the IoT devices in close proximity are clustered together and then an IoT device with the highest residual energy is selected as a cluster head (CH) on a rotational basis. Once the CH is selected, it assigns channels to the IoT devices to report their data using a novel integer linear program (ILP)-based channel allocation scheme by satisfying their desired QoS. To evaluate the presented schemes, exhaustive simulations are carried out by varying different parameters, including the number of IoT devices, the number of harvesting sources, the distance between RF sources and IoT devices and the primary user (PU) activity of different channels. The simulation results demonstrate that our proposed schemes perform better than the existing ones.

show abstract

Towards an IoT based water management system for a campus

Cited by 56 publications

References 1 publication

Low-Cost IoT: A Holistic Approach

Low-Cost IoT: A Holistic Approach

Iot Based Water Monitoring System:a Review

Optimized Energy Harvesting, Cluster-Head Selection and Channel Allocation for IoTs in Smart Cities

Contact Info

Product

Resources

About