TinyOS-New Trends, Comparative Views, and Supported Sensing Applications: A Review

Amjad, Muhammad; Sharif, Muhammad; Afzal, Muhammad Khalil; Kim, Sung Won

doi:10.1109/jsen.2016.2519924

Cited by 102 publications

(31 citation statements)

References 174 publications

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“…Therefore, IWSN, with these aims, has revealed its prominence in various industrial applications, including modern agriculture, transportation, steel mills, healthcare systems, area surveillance, gas and oil industry, and many others. 12,13 The quality-of-service (QoS)-aware cooperative multihop communication in IoT-enabled smart grid (SG) is highly dependent on a number of performance metrics like coverage, scalability, stability, latency, lifetime, and complexity of the network. In IoT-enabled SG, IWSNs through IoT connect various industrial components of the power grid to the information world, which results in high-quality power generation and distribution and innovative services.…”

mentioning

confidence: 99%

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

Faheem

Butt

Raza

et al. 2018

Trans Emerging Tel Tech

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Recently, the advences of Industry 4.0 have paved the way for a systematical deployment of the smart grid (SG) to manage continuously growing energy demand of the 21st century. This even allows the fourth stage of the industrial revolution in the power sector, which is known as the smart grid industry (SGI) 4.0. In SGI 4.0, the industrial wireless sensor networks (WSNs) and the Internet of Things are envisioned as key promising communication technologies for monitoring various SG applications due to their large-scale coverage, fault tolerance characteristics, and cost reduction. However, highly dynamic nature of the SG environments brings several unique challenges caused by systems and operating devices. This results in hampering the quality-of-service communication requirements for WSNs-based SG applications. In SGI 4.0, the routing infrastructure not only requires a reliable but also fulfills the communication requirements of diverse SG applications. Thus, a sophisticated, reliable and QoS-aware multi-hop communications network architecture enabling a real-time exchange of data for various WSNs-based SG applications is essential in SGI 4.0. Hence, this paper proposes a novel bio-inspired self-optimized butterfly mating optimization-based data gathering routing scheme called Self-optimized Intelligent routing protocol (SIRP) for WSNs-based SG applications. The extensive simulations reveal that the proposed scheme achieves its defined goals compared to existing routing schemes designed for WSNs-based applications.Trans Emerging Tel Tech. 2019;30:e3503.wileyonlinelibrary.com/journal/ett streamline management operations are connected using wired networks working over industrial protocols in traditional factories. However, compared with a wired network, the wireless networking solution plays a complementary role to empower control and management competencies of the factory elements in I 4.0. To this end, industrial wireless sensor networks (IWSNs) are envisioned as a valuable technology to realize the vision of I 4.0 because of their low-cost sensing, identifying, processing, and networking capabilities. The IWSNs provide physical industry world information to a user located in a remote location to realize distinct objectives. 10,11 The fundamental characteristics of IWSN-based networking solution in I 4.0 is to provide least maintenance cost by avoiding excessive breakdowns in a defined time interval for enabling smart production reliability and increasing economic benefits. Therefore, IWSN, with these aims, has revealed its prominence in various industrial applications, including modern agriculture, transportation, steel mills, healthcare systems, area surveillance, gas and oil industry, and many others. 12,13 The quality-of-service (QoS)-aware cooperative multihop communication in IoT-enabled smart grid (SG) is highly dependent on a number of performance metrics like coverage, scalability, stability, latency, lifetime, and complexity of the network. In IoT-enabled SG, IWSNs through IoT connect various industrial ...

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mentioning

confidence: 99%

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

Faheem

Butt

Raza

et al. 2018

Trans Emerging Tel Tech

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“…TinyOS is the most widely used WSN operating system and is found in 60% of WSN deployments [48,49]. Owing to its popularity, TinyOS has a larger community, better documentation, and well-tested drivers and protocols compared to other WSN operating system alternatives [48].…”

Section: Methodsmentioning

confidence: 99%

A Networked Sensor System for the Analysis of Plot-Scale Hydrology

Villalba

Plaza

Zhong

et al. 2017

Sensors

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This study presents the latest updates to the Audubon Society of Western Pennsylvania (ASWP) testbed, a $50,000 USD, 104-node outdoor multi-hop wireless sensor network (WSN). The network collects environmental data from over 240 sensors, including the EC-5, MPS-1 and MPS-2 soil moisture and soil water potential sensors and self-made sap flow sensors, across a heterogeneous deployment comprised of MICAz, IRIS and TelosB wireless motes. A low-cost sensor board and software driver was developed for communicating with the analog and digital sensors. Innovative techniques (e.g., balanced energy efficient routing and heterogeneous over-the-air mote reprogramming) maintained high success rates (>96%) and enabled effective software updating, throughout the large-scale heterogeneous WSN. The edaphic properties monitored by the network showed strong agreement with data logger measurements and were fitted to pedotransfer functions for estimating local soil hydraulic properties. Furthermore, sap flow measurements, scaled to tree stand transpiration, were found to be at or below potential evapotranspiration estimates. While outdoor WSNs still present numerous challenges, the ASWP testbed proves to be an effective and (relatively) low-cost environmental monitoring solution and represents a step towards developing a platform for monitoring and quantifying statistically relevant environmental parameters from large-scale network deployments.

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“…According to the author, the Android operating system works more efficiently as compared to Sun embedded operating system. Android, Symbian, IOs, Microsoft, TinyOS [94], and other operating systems are a platform for other energy-aware operating systems that are discussed in this paper.…”

Section: Energy Aware Operating Systemmentioning

confidence: 99%

Energy Consumption in Mobile Phones

Javed¹,

Shahid²,

Sharif³

et al. 2017

IJCNIS

Self Cite

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Abstract-As the mobile devices are widely used in this world. With the increasing number of users, the numbers of customized applications are also introduced for these users according to their own requirements but on the other hand, there is a dire need of a system which must be energy conserved, estimated and maintained. A survey of energy consumption in mobile phones is presented in this paper with the factors at which the consumption of the energy depends on i.e. Energy consumed by OS, by hardware, by applications, by the user to interact with the applications, by wireless, by the sensor network. The energy management models and frameworks are also discussed in this paper.

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TinyOS-New Trends, Comparative Views, and Supported Sensing Applications: A Review

Cited by 102 publications

References 174 publications

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

A Networked Sensor System for the Analysis of Plot-Scale Hydrology

Energy Consumption in Mobile Phones

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