scholarly journals Energy Consumption Estimation for Machining Processes Based on Real-time Shop Floor Monitoring via Wireless Sensor Networks

Procedia CIRP ◽  
2016 ◽  
Vol 57 ◽  
pp. 637-642 ◽  
Author(s):  
Dimitris Mourtzis ◽  
Ekaterini Vlachou ◽  
Nikolaos Milas ◽  
George Dimitrakopoulos
2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Weizhe Zhang ◽  
Boyu Song ◽  
Enci Bai

Heterogeneous multicore and multiprocessor systems have been widely used for wireless sensor information processing, but system energy consumption has become an increasingly important issue. To ensure the reliable and safe operation of sensor systems, the task scheduling success rate of heterogeneous platforms should be improved, and energy consumption should be reduced. This work establishes a trusted task scheduling model for wireless sensor networks, proposes an energy consumption model, and adopts the ant colony algorithm and bee colony algorithm for the task scheduling of a real-time sensor node. Experimental result shows that the genetic algorithm and ant colony algorithm can efficiently solve the energy consumption problem in the trusted task scheduling of a wireless sensor and that the performance of the bee colony algorithm is slightly inferior to that of the first two methods.


Sensors ◽  
2019 ◽  
Vol 19 (17) ◽  
pp. 3789 ◽  
Author(s):  
Anees ◽  
Zhang ◽  
Baig ◽  
Lougou

The gradual increase in the maturity of sensor electronics has resulted in the increasing demand for wireless sensor networks for many industrial applications. One of the industrial platforms for efficient usage and deployment of sensor networks is smart grids. The critical network traffic in smart grids includes both delay-sensitive and delay-tolerant data for real-time and non-real-time usage. To facilitate these traffic requirements, the asynchronous working–sleeping cycle of sensor nodes can be used as an opportunity to create a node connection. Efficient use of wireless sensor network in smart grids depends on various parameters like working–sleeping cycle, energy consumption, network lifetime, routing protocol, and delay constraints. In this paper, we propose an energy-efficient multi-disjoint path opportunistic node connection routing protocol (abbreviated as EMOR) for sensor nodes deployed in neighborhood area network. EMOR utilizes residual energy, availability of sensor node’s buffer size, working–sleeping cycle of the sensor node and link quality factor to calculate optimum path connectivity after opportunistic connection random graph and spanning tree formation. The multi-disjoint path selection in EMOR based on service differentiation of real-time and non-real-time traffic leads to an improvement in packet delivery rate, network lifetime, end-end delay and total energy consumption.


2014 ◽  
Vol 513-517 ◽  
pp. 2077-2081
Author(s):  
Hua Rui Wu ◽  
Li Zhu

environmental monitoring should have real-time, reliability and sustainability,the article design a device which can meet the request of environmental monitoring. the wireless sensor networks device based on ZigBee is described in detailed, meanwhile, a new routing strategy based on LEACH algorithm is proposed,implement of the strategy is described in the thesis.The new routing strategy is suitable for the long time monitoring, and realized the establishment of network cluster head nodes, broadcasting, selection and scheduling. According to the distance and energy consumption of nodes make a decision that the node joining a cluster or as a separate node directly communicate with the control node.The simulation results show that the device can real-time collection and remote transmission environmental temperature, humidity and other information, reduce energy consumption of data transmission, Prolong the network life-time, improve the network quality, and ensure the wireless sensor networks stable wrok,realize the network optimization.


2014 ◽  
Vol 536-537 ◽  
pp. 314-319
Author(s):  
Nan Chen ◽  
Jing Fan ◽  
Min Min Xiang ◽  
Jin Shuai Qu

In view of debris flow monitoring for complicated mountainous terrain, network topology is impacted by environmental change, this paper designing a structure-free network topology to enhance network robustness. While applying the weighted resampling algorithm, to avoid monitoring data loss, make sure fairness transmission sensor nodes. To solve the problem of energy consumption and the time delay in wireless sensor networks, a real-time data aggregation algorithm proposed to reduce the redundant information transmission, to improve the energy efficiency. The simulation results show that adopted the network model of data aggregation is effective in reducing the energy consumption and improves the quality of network communication, while meeting the requirements of real-time monitoring.


2011 ◽  
Vol E94-B (2) ◽  
pp. 569-572
Author(s):  
Soochang PARK ◽  
Euisin LEE ◽  
Juhyun JUNG ◽  
Sang-Ha KIM

Author(s):  
Omkar Singh ◽  
Vinay Rishiwal

Background & Objective: Wireless Sensor Network (WSN) consist of huge number of tiny senor nodes. WSN collects environmental data and sends to the base station through multi-hop wireless communication. QoS is the salient aspect in wireless sensor networks that satisfies end-to-end QoS requirement on different parameters such as energy, network lifetime, packets delivery ratio and delay. Among them Energy consumption is the most important and challenging factor in WSN, since the senor nodes are made by battery reserved that tends towards life time of sensor networks. Methods: In this work an Improve-Energy Aware Multi-hop Multi-path Hierarchy (I-EAMMH) QoS based routing approach has been proposed and evaluated that reduces energy consumption and delivers data packets within time by selecting optimum cost path among discovered routes which extends network life time. Results and Conclusion: Simulation has been done in MATLAB on varying number of rounds 400- 2000 to checked the performance of proposed approach. I-EAMMH is compared with existing routing protocols namely EAMMH and LEACH and performs better in terms of end-to-end-delay, packet delivery ratio, as well as reduces the energy consumption 13%-19% and prolongs network lifetime 9%- 14%.


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