Energy efficient information gathering in wireless sensor networks using compressive sensing

Korlekar, Aditya; Pacharaney, Utkarsha; Gupta, Rajiv

doi:10.1109/icices.2016.7518950

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…Generally, in a WSN, the sink has significantly more energy and computing resources than an SN. This notion is adopted by researchers because it is inline with field experience and common engineering sense [123]. Thus, our approach will exploit this difference in energy supply and computing resources between the sink and an SN.…”

Section: Existing Approachesmentioning

confidence: 99%

Wireless Sensing for Ground Engaging Tools

Ibrahim

Hassan

Hassanein

et al. 2020

GLOBECOM 2020 - 2020 IEEE Global Communications Conference

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A long-standing industrial problem is tackled with an industrial internet of things (IIoT) application. This thesis presents the hardware design and development of a wireless sensor network for monitoring ground engaging tools of earth processing equipment. This work addresses several challenges in the hardware design. The challenges included establishing wireless communications from within a metallic enclosure, Investigating the effect of antenna tuning on the link budget, designing a protective package for the sensor node (SN) to withstand vibrations and mechanical shocks, and creating a low-power design that allowed for a minimum battery life of one year.Furthermore, this work puts forward the design of novel application-specific sensors including a low-power ferrous-selective proximity sensor and a low-cost capacitive wear-level sensor.Hardware designs were evaluated with laboratory and field tests. The conducted tests demonstrated the SN's functionality and performance in harsh operating conditions. The journey from problem definition and to successful field testing of the complete wireless sensing solution is covered in this thesis.In addition, a novel energy-efficient approach to wireless real-time sensing is presented. For an SN transmitting samples of a discrete time-series in real-time, its DisclaimerThis work was made possible through the software developed by Galal Hassan. His work on the shovel project covered firmware development for the sensor node, software development for the sink, and setting up the back-end cloud server including the dashboard. Furthermore, Galal has contributed significantly to the success of the shovel project by developing an energy-efficient MAC protocol [1] which allowed for satisfying the life-time requirement of the sensor nodes.

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Section: Existing Approachesmentioning

confidence: 99%

Wireless Sensing for Ground Engaging Tools

Ibrahim

Hassan

Hassanein

et al. 2020

GLOBECOM 2020 - 2020 IEEE Global Communications Conference

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“…Hence, this growth has triggered high demands on WSNs to provide QoS requirements for every user and application that uses them, as a means to enhance their operation. Even though wireless sensor network (WSN) technologies have resource constraints with regard to memory, power, bandwidth and processing capabilities [1], they possess the potential to support modern high demand network computing applications if they could be optimised accordingly. Hence, QoS mechanisms should take the sensor node constraints into consideration.…”

Section: Introductionmentioning

confidence: 99%

Software defined wireless sensor networks and efficient congestion control

et al. 2018

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To achieve greater performance in computing networks, a setup of critical computing aspects that ensures efficient network operation needs to be implemented. One of these computing aspects is quality of service (QoS). QoS capable of networking allows efficient control of traffic, especially for network critical data. However, to achieve this in wireless sensor networks (WSNs) is a serious challenge, since these technologies have computing limitations. It is even difficult to manage networking resources with ease in these types of technologies, due to their communication, processing and memory limitations. Even though this is the case with WSNs, they have been largely used in monitoring/detection systems, and by this proving their application importance. In this study, a resource-aware OpenFlow-based active network management QoS scheme that uses software defined networking (SDN) strategies is proposed and implemented to apply QoS requirements for managing traffic congestion in WSNs. This scheme uses SDN programmability strategies to apply network QoS requirements and perform traffic load balancing to ensure congestion control in software defined WSNs. The experimental results show that the developed scheme is able to provide congestion avoidance within the network. It also allows opportunities to implement flexible QoS requirements based on the system's traffic state.

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