Energy-efficent cooperative spectrum sensing for cognitive sensor networks with energy harvesting

Zou, Yibing; Peng, Jun; Liu, Kaiyang; Fu, Jiang; Lu, Honghai

doi:10.1109/ccdc.2016.7531382

Cited by 6 publications

(2 citation statements)

References 16 publications

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“…To reduce the energy used for sensing operations, adaptive sensing can be employed to dynamically regulate the amount of data sensed in a given period of time (Alippi et al 2009;Sharma et al 2010b;Zhang et al , 2016bYoon et al 2016). Cooperative spectrum sensing is proposed in Zou et al (2016) to balance the network energy consumption by optimizing the nodes' sleeping schedules. Cooperative transmission and relay selection is a widely used concept in sensor networks to provide better energy efficiency (Cui et al 2004).…”

Section: Power Managementmentioning

confidence: 99%

Energy-Harvesting Wireless Sensor Networks (EH-WSNs)

Adu-Manu

Adam

Tapparello

et al. 2018

ACM Trans. Sen. Netw.

288

162

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Wireless Sensor Networks (WSNs) are crucial in supporting continuous environmental monitoring, where sensor nodes are deployed and must remain operational to collect and transfer data from the environment to a base-station. However, sensor nodes have limited energy in their primary power storage unit, and this energy may be quickly drained if the sensor node remains operational over long periods of time. Therefore, the idea of harvesting ambient energy from the immediate surroundings of the deployed sensors, to recharge the batteries and to directly power the sensor nodes, has recently been proposed. The deployment of energy harvesting in environmental field systems eliminates the dependency of sensor nodes on battery power, drastically reducing the maintenance costs required to replace batteries. In this article, we review the state-of-the-art in energy-harvesting WSNs for environmental monitoring applications, including Animal Tracking, Air Quality Monitoring, Water Quality Monitoring, and Disaster Monitoring to improve the ecosystem and human life. In addition to presenting the technologies for harvesting energy from ambient sources and the protocols that can take advantage of the harvested energy, we present challenges that must be addressed to further advance energy-harvesting-based WSNs, along with some future work directions to address these challenges.

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Section: Power Managementmentioning

confidence: 99%

Energy-Harvesting Wireless Sensor Networks (EH-WSNs)

Adu-Manu

Adam

Tapparello

et al. 2018

ACM Trans. Sen. Netw.

288

162

View full text Add to dashboard Cite

show abstract

“…However, there are still the challenges of the limited spectrum availability and energy limitations to deploy practical applications fully. With the increased complexity of data, the requirements for more processing power and longer battery life have stimulated the research in the direction of energy harvesting based on cooperative transmission as a way to increase the reliability and battery power of wireless devices [13,14]. Figure 1 shows an example of interconnected devices in a home environment cooperating for the generation of data that would be streamed in support of eHealth applications [15].…”

Section: The Concept Of Cooperationmentioning

confidence: 99%

Cooperative Human-Centric Sensing Connectivity

Mihovska¹,

Sarkar²

2018

Internet of Things - Technology, Applications and Standardization

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Human-centric sensing (HCS) is a new concept relevant to Internet of Things (IoT). HCS connectivity, referred to as "smart connectivity," enables applications that are highly personalized and often time-critical. In a typical HCS scenario, there may be many hundreds of sensor stream connections, centered around the human, who would be the determining factor for the number, the purpose, the direction, and the frequency of the sensor streams. This chapter examines the concepts of HCS communications, outlines the challenges, and defines a roadmap for solutions for realizing HCS networks. This chapter is organized as follows. Section 1 introduces the concept of cooperation in information and communications technologies (ICT), and in the context of IoT. Section 2 discusses cooperation in the context of the personal and extra-personal user space and identifies the remaining open challenges and requirements for realizing the benefits of this approach to enabling more resources and services in a hyper-connected society. Section 3 defines a roadmap toward realizing simple, efficient, and trustable systems based on advanced technologies combining security, cloud, and IoT/big data technologies and outlines the challenges related to this vision. Section 4 concludes the chapter.

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Cooperative communication based access technique for sensor networks

Bayrakdar

2019

International Journal of Electronics

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Energy-efficent cooperative spectrum sensing for cognitive sensor networks with energy harvesting

Cited by 6 publications

References 16 publications

Energy-Harvesting Wireless Sensor Networks (EH-WSNs)

Energy-Harvesting Wireless Sensor Networks (EH-WSNs)

Cooperative Human-Centric Sensing Connectivity

Cooperative communication based access technique for sensor networks

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