A distributed dual-based algorithm for multi-target coverage in wireless sensor networks

Naderan, Marjan; Dehghan, Mehdi; Pedram, Hossein

doi:10.1109/cnds.2011.5764574

Cited by 23 publications

(3 citation statements)

References 33 publications

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“…In various WSNs, sensing coverage is a vital module which determines that how good a sensor observes the physical occurrence in a network. Several approaches have been designed for maximizing the sensing coverage, as in [180]- [183]. There are three basic types of sensing coverage, i.e., i) area coverage, ii) barrier coverage, and iii) target coverage [180].…”

Section: Sensing Coverage and Target Trackingmentioning

confidence: 99%

The Internet of Things: A Review of Enabled Technologies and Future Challenges

et al. 2019

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The Internet of Things (IoT) is an emerging classical model, envisioned as a system of billions of small interconnected devices for posing the state-of-the-art findings to real-world glitches. Over the last decade, there has been an increasing research concentration in the IoT as an essential design of the constant convergence between human behaviors and their images on Information Technology. With the development of technologies, the IoT drives the deployment of across-the-board and self-organizing wireless networks. The IoT model is progressing toward the notion of a cyber-physical world, where things can be originated, driven, intermixed, and modernized to facilitate the emergence of any feasible association. This paper provides a summary of the existing IoT research that underlines enabling technologies, such as fog computing, wireless sensor networks, data mining, context awareness, real-time analytics, virtual reality, and cellular communications. Also, we present the lessons learned after acquiring a thorough representation of the subject. Thus, by identifying numerous open research challenges, it is presumed to drag more consideration into this novel paradigm. INDEX TERMS Internet of Things, fog computing, wireless sensor networks, smart cities, cellular IoT, real-time analytics.

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Section: Sensing Coverage and Target Trackingmentioning

confidence: 99%

The Internet of Things: A Review of Enabled Technologies and Future Challenges

et al. 2019

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“…However, this is solvable only if the network has complete knowledge of all sensors' utility functions. In [209], the problem was formulated with the the Lagrange multipliers with their interpretations as resource prices and overlapping prices. In particular, the resource prices are the energy prices which sensors are willing to pay.…”

Section: B Target Coveragementioning

confidence: 99%

“…The NUM framework is suitable since it formulates the problem by maximizing the aggregate utilities of sensors subject to the constraints. In [209], the NUM framework for determining the sensing range of sensors was proposed to address the target coverage in WSNs. Each utility function in this approach is logarithmically concave function of the sensing range.…”

Section: B Target Coveragementioning

confidence: 99%

Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey

Luong

Hoang

Wang

et al. 2016

IEEE Commun. Surv. Tutorials

303

124

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Abstract-This paper provides a state-of-the-art literature review on economic analysis and pricing models for data collection and wireless communication in Internet of Things (IoT). Wireless Sensor Networks (WSNs) are the main component of IoT which collect data from the environment and transmit the data to the sink nodes. For long service time and low maintenance cost, WSNs require adaptive and robust designs to address many issues, e.g., data collection, topology formation, packet forwarding, resource and power optimization, coverage optimization, efficient task allocation, and security. For these issues, sensors have to make optimal decisions from current capabilities and available strategies to achieve desirable goals. This paper reviews numerous applications of the economic and pricing models, known as intelligent rational decision-making methods, to develop adaptive algorithms and protocols for WSNs. Besides, we survey a variety of pricing strategies in providing incentives for phone users in crowdsensing applications to contribute their sensing data. Furthermore, we consider the use of some pricing models in Machine-to-Machine (M2M) communication. Finally, we highlight some important open research issues as well as future research directions of applying economic and pricing models to IoT.

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Reliable and energy efficient target coverage for wireless sensor networks

Pan

et al. 2011

Tinshhua Sci. Technol.

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A distributed dual-based algorithm for multi-target coverage in wireless sensor networks

Cited by 23 publications

References 33 publications

The Internet of Things: A Review of Enabled Technologies and Future Challenges

The Internet of Things: A Review of Enabled Technologies and Future Challenges

Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey

Reliable and energy efficient target coverage for wireless sensor networks

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