scholarly journals A Data Transmission Algorithm Based on Dynamic Grid Division for Coal Goaf Temperature Monitoring

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Qingsong Hu ◽  
Lixin Wu ◽  
Fei Geng ◽  
Can Cao

WSN (wireless sensor network) is a perfect tool of temperature monitoring in coal goaf. Based on the three-zone theory of goaf, the GtmWSN model is proposed, and its dynamic features are analyzed. Accordingly, a data transmission scheme, named DTDGD, is worked out. Firstly, sink nodes conduct dynamic grid division on the GtmWSN according to virtual semicircle. Secondly, each node will confirm to which grid it belongs based on grid number. Finally, data will be delivered to sink nodes with greedy forward and hole avoidance. Simulation results and field data showed that the GtmWSN and DTDGD satisfied the lifetime need of goaf temperature monitoring.

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Na Li ◽  
Liwen Zhang ◽  
Bing Li

Energy efficiency in wireless sensor network (WSN) is one of the primary performance parameters. For improving the energy efficiency of WSN, we introduce distributed source coding (DSC) and virtual multiple-input multiple-output (MIMO) into wireless sensor network and then propose a new data transmission scheme called DSC-MIMO. DSC-MIMO compresses the source data using distributed source coding before transmitting, which is different from the existing communication schemes. Data compression can reduce the length of the data and improve the energy efficiency. In addition, DSC-MIMO does not require the cluster heads to collect the data of the source nodes, which reduces the frequencies of data transmission and saves energy. In the simulation, we analyze the energy consumption of DSC-MIMO. The results indicate that DSC-MIMO can effectively reduce the energy consumption and improve the energy efficiency of the whole wireless sensor network.


2014 ◽  
Vol 1046 ◽  
pp. 339-342
Author(s):  
Tao Niu ◽  
Yi Zhuang

In order to achieve reliable data transmission in clustering structure based data acquisition systems of wireless sensor network, in this paper, we propose a reliable data transmission scheme based on network coding for clustering wireless sensor network. We use random linear network coding to solve reliable multicast data transmission from base station to other nodes, and then combine random linear network coding with multipath routing for transmitting acquired data to the base station, so as to improve the success rate for sending acquired data to the base station. Simulation results show that the proposed algorithm can achieve reliable data transmission with lower energy, and significantly improve the transmission reliability compared to data transmission without using network coding.


2014 ◽  
Vol 539 ◽  
pp. 220-223
Author(s):  
Hua Zhang

This paper discussed the problem of wireless sensor network data transmission protocols, and combined with the characteristics of WSN and the actual needs, the design and implementation of a data transmission priority queue and priority transmission scheme of ACK, provide an end-to-end transmission for the important information, and achieve the timely, reliable transmission of control information.


2014 ◽  
Vol 685 ◽  
pp. 583-586
Author(s):  
Tian Jun Lu ◽  
Yue Wang

This paper discusses the relevant theoretical problems of ant colony algorithm, analyzes the defects of the traditional ant colony algorithm, and proposed an improved ant colony algorithm to solve these problems. Wireless sensor network routing should satisfy both to ensure data transmission and reduce the amount of communication requirements. The paper presents development of routing protocol for wireless sensor network based on improved ant colony algorithm technology. The simulation results show the effectiveness of this algorithm.


2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Awais Ahmad ◽  
M. Mazhar Rathore ◽  
Anand Paul ◽  
Bo-Wei Chen

Multihop communication in wireless sensor network (WSN) brings new challenges in reliable data transmission. Recent work shows that data collection from sensor nodes using mobile sink minimizes multihop data transmission and improves energy efficiency. However, due to continuous movements, mobile sink has limited communication time to collect data from sensor nodes, which results in rapid depletion of node’s energy. Therefore, we propose a data transmission scheme that addresses the aforementioned constraints. The proposed scheme first finds out the group based region on the basis of localization information of the sensor nodes and predefined trajectory information of a mobile sink. After determining the group region in the network, selection of master nodes is made. The master nodes directly transmit their data to the mobile sink upon its arrival at their group region through restricted flooding scheme. In addition, the agent node concept is introduced for swapping of the role of the master nodes in each group region. The master node when consuming energy up to a certain threshold, neighboring node with second highest residual energy is selected as an agent node. The mathematical analysis shows that the selection of agent node maximizes the throughput while minimizing transmission delay in the network.


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