Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors

Lenka, Rakesh Kumar; Rath, Amiya Kumar; Tan, Zhiyuan; Sharma, Suraj; Puthal, Deepak; Simha, N. V. R.; Prasad, Mukesh; Raja, Rohit; Tripathi, Shankar Sharan

doi:10.1109/access.2018.2842760

Cited by 48 publications

(16 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To prolong the lifetime of the IoT, a novel rendezvous data routing scheme based on lower sensors is proposed to achieve the data transmission for scalable CPS networking infrastructure [8]. In addition, a new sensor trajectory planning method is proposed to solve the trajectory planning problem for robotic CPSS [9]. However, all the above-mentioned methods have not considered the improvement of transmission efficiency of the novel WSN in CPSS.…”

Section: Related Workmentioning

confidence: 99%

“…The CPSS as a novel paradigm enables the deep interaction of social space and CPS or Internet of Things (IoT), which brings significant changes for improving the service and management of complex physical systems. Architectures, methods and schemes of CPSS for different application areas have been proposed [1,2,3,4,5,6,7,8,9]. The wireless sensor network (WSN) as the sensing network is one of the most important parts.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Transmission Optimization of Social and Physical Sensor Nodes via Collaborative Beamforming in Cyber-Physical-Social Systems

Bao

Liang

Han

2018

Sensors

View full text Add to dashboard Cite

The recently emerging cyber-physical-social system (CPSS) can enable efficient interactions between the social world and cyber-physical system (CPS). The wireless sensor network (WSN) with physical and social sensor nodes plays an important role in CPSS. The integration of the social sensors and physical sensors in CPSS provides an advantage for smart services in different application areas. However, the dynamics of social mobility for social sensors pose new challenges for implementing the coordination of transmission. Furthermore, the integration of social and physical sensors also faces the challenges in term of improving energy efficiency and increasing transmission range. To solve these problems, we integrate the model of social dynamics with collaborative beamforming (CB) technique to formulate the transmission optimization problem as a dynamic game. A novel transmission scheme based on reinforcement learning is proposed to solve the formulated problem. The corresponding implementation of the proposed transmission scheme in CPSS is presented by the design of message exchange processes. The extensive simulation results demonstrate that the proposed transmission scheme presents lower interference to noise ratio (INR) and better signal to noise ratio (SNR) performance in comparison with the existing schemes. The results also indicate that the proposed method has effective adaptation to the dynamic mobility of social sensor nodes in CPSS.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transmission Optimization of Social and Physical Sensor Nodes via Collaborative Beamforming in Cyber-Physical-Social Systems

Bao

Liang

Han

2018

Sensors

View full text Add to dashboard Cite

show abstract

“…The CPS has been widely used in many fields, such as intelligent transportation, 5 medical equipment, 6 energy protection, 7 environmental monitoring, 8 aerospace software, infrastructure construction, 9 universal adaptive communication, energy‐saving buildings, 10 and biological systems 11 . The high‐performance computing capability is the guarantee of real‐time and accurate application of CPS.…”

Section: Introductionmentioning

confidence: 99%

“…With the emergence of distirbuted computable Wireless Sensor Network (WSN) 3 and Cyber-Physical System (CPS), 4 it becomes possible to solve above problems in indoor environment of smart building. The CPS has been widely used in many fields, such as intelligent transportation, 5 medical equipment, 6 energy protection, 7 environmental monitoring, 8 aerospace software, infrastructure construction, 9 universal adaptive communication, energy-saving buildings, 10 and biological systems. 11 The high-performance computing capability is the guarantee of real-time and accurate application of CPS.…”

Section: Introductionmentioning

confidence: 99%

Intelligent task scheduling of distributed wireless sensor network to monitor building environment

Wang¹

2021

Internet Technology Letters

View full text Add to dashboard Cite

A wireless sensor network (WSN) is constructed based on the distributed cyber‐physical system for the indoor environment of smart buildings. The task allocation strategy in WSN is designed by considering computable complexity and dynamic scheduling for the dynamic task scheduling problem in the smart building. First, each task is divided as several subtasks which are calculated by the appropriate computing nodes. Then, the sub‐tasks are allocated according to a task scheduling sequence table which is constructed by the scheduling priority. The tasks are processed in the order in task scheduling sequence table. The simulations show that the proposed task scheduling can effectively reduce the communication time and waiting time of tasks in the distributed and computable WSN in the intelligent building indoor environment. Meanwhile, it can also improve the success rate of task scheduling. Finally, the proposed task scheduling can optimize the operating efficiency of the smart building system.

show abstract

“…The hotspot is another challenge that is, being present in the WSN assisted IoT network. In the WSN assisted IoT network, the devices that are present nearer to the IoT hub spent more energy compared to others because of the large computation [11], [12], [30]. To avoid such a condition, mobile IoT-hub is proposed.…”

Section: Introductionmentioning

confidence: 99%

Building Reliable Routing Infrastructure for Green IoT Network

Lenka

Rath²,

Sharma

2019

IEEE Access

Self Cite

View full text Add to dashboard Cite

Present research work on the Internet of Things and Fog computing has taken hype due to the low cost of building them by optimized sensors. Wireless sensor devices play a vital role in developing IoT sensing infrastructure. These devices are connected to form a network known as the WSN assisted IoT network. The number of things is verdant in IoT creates an immense energy need. So, efficient energy utilization is required to alter the green IoT environment. These sensor devices are having limited power and computational capabilities. We can use energy-efficient data routing protocols as data transferring with these low powered sensors is very challenging. One may use the sensors for more time in sensing the environment and sending the information. This proposed protocol deals with a reliable routing protocol for IoT sensing Infrastructure. Initially, a rendezvous region was created in the middle of the network area. Clustering and multipath technique are used because it reduces energy consumption and increases reliability. The proposed protocol is simulated within Castalia simulator for attaining the performance beneath different characteristics like packet delivery ratio, the average energy consumption, end to end delay, and network lifetime. It is observed that the suggested technique is useful in energy consumption and helps in boosting the IoT infrastructure network lifetime.INDEX TERMS Internet of Things, hot spot problem, WSN-assisted IoT, routing protocol, green IoT.

show abstract

Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors

Cited by 48 publications

References 38 publications

Transmission Optimization of Social and Physical Sensor Nodes via Collaborative Beamforming in Cyber-Physical-Social Systems

Transmission Optimization of Social and Physical Sensor Nodes via Collaborative Beamforming in Cyber-Physical-Social Systems

Intelligent task scheduling of distributed wireless sensor network to monitor building environment

Building Reliable Routing Infrastructure for Green IoT Network

Contact Info

Product

Resources

About