EAPOR: A Distributed, Energy-Aware Topology Control Algorithm Based Path–Obstacle–Remove Model for WSN

Hao, Xiaochen; Xin, Min-Jie; Ru, Xiao-Yue

doi:10.1007/s11277-014-2034-2

Cited by 8 publications

(3 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the mobile Internet technology, this paper designs and implements the mobile Internet client platform and mobile client access which is connected with the Internet of things application platform [12]. The open interface provided by the WeChat platform is used to realize the interaction between the WeChat platform and the Internet of things application platform database, and complete the interconnection and intercommunication of the mobile Internet and the Internet of things [13].…”

Section: Literature Reviewmentioning

confidence: 99%

A Wireless Internet of Things Architecture Based on Mobile Internet

Zhou

2017

Int. J. Onl. Eng.

View full text Add to dashboard Cite

Abstract-In order to develop a valid wireless Internet of things system, a wireless Internet of things framework based on mobile Internet is designed. The architecture of the Internet of things determines the architecture of the Internet of things business platform. There is no uniform standard for the architecture of the Internet of things service platform. The Internet of things business platform is mostly in an isolated state. The platform uses the common information management platform of Internet websites to manage mobile internet. Combined with the technologies of perception, identification and network transmission in the Internet of things technology, it is a content management Web management information system with both B/S (Browser/Server) and C/S structure (Client/Server). The platform can operate anywhere, and can give full play to the processing capacity of the client PC, and greatly reduce the application server running data load. The experimental results show that compared with the centralized database system, in the same piece of redundant condition, when the test table data is greater than the 1 million and the concurrent number is 100, the distributed database system has shorter concurrent query time and faster system response rate. Based on the above finding, it is concluded that wireless Internet of things technology based on mobile Internet will promote the development of the whole logistics industry and other related industries.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

A Wireless Internet of Things Architecture Based on Mobile Internet

Zhou

2017

Int. J. Onl. Eng.

View full text Add to dashboard Cite

show abstract

“…ProSwit, a new method, was adopted in [12] to maximise the network lifetime when designing the topology structure of WSN. The power control [13–16] has also been studied on network performance from different aspects. However, power control is the topology control of a single channel.…”

Section: Introductionmentioning

confidence: 99%

Distributed resource allocation optimisation algorithm based on particle swarm optimisation in wireless sensor network

et al. 2020

View full text Add to dashboard Cite

“…e advantage of the abovementioned method is that it can be optimized according to the QoS attributes that users are interested in, for searching the QoS composition path that satisfies the actual needs of users [27,28]. In references [29,30], the paper proposes the service composition selection by minimizing the weighted sum of energy consumption and response time.…”

Section: Introductionmentioning

confidence: 99%

Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment

Gao

2020

Complexity

View full text Add to dashboard Cite

With the rapid development of Internet of Things (IoT) technology, the energy consumption of service composition in the IoT environment is a key problem to be studied. At present, the problems of service composition in the IoT environment mostly focus on the evaluation research based on quality of service (QoS), ignoring the overall energy consumption in the process of dynamic configuration of service composition. Therefore, we construct the service composition structure for the IoT and propose the QoS evaluation model and energy evaluation model for the service composition in the IoT environment. Considering that the service composition in the Internet of things environment is NP hard, moth algorithm (MFO) is successfully applied to the QoS evaluation model and energy evaluation model. The simulation results reveal that MFO has good optimization effect in the abovementioned models, and the optimization effect of MFO is improved by 8% and 6% compared with the genetic algorithm and particle swarm optimization, so as to realize the green energy strategic management of QoS composition in the environment of IoT.

show abstract

EAPOR: A Distributed, Energy-Aware Topology Control Algorithm Based Path–Obstacle–Remove Model for WSN

Cited by 8 publications

References 14 publications

A Wireless Internet of Things Architecture Based on Mobile Internet

A Wireless Internet of Things Architecture Based on Mobile Internet

Distributed resource allocation optimisation algorithm based on particle swarm optimisation in wireless sensor network

Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment

Contact Info

Product

Resources

About