A Task Scheduling Strategy in Heterogeneous Multi-sinks Wireless Sensor Networks

Dai, Liang; Xu, Hongke; Chen, Ting

doi:10.4304/jnw.6.11.1586-1593

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…The multithreading work mode is adopted to simulate the environment of WSN. During the process, DKC method is compared with the centralized method [19] which will compute the sin k nodes returned by all data. The following figures describe the changing of error rate and time with the increase of the number of network nodes.…”

Section: A Performance Analysis Based On K-mean Clustering Algorithmmentioning

confidence: 99%

A Data-aggregation Scheme for WSN based on Optimal Weight Allocation

Zou¹,

Liu²

2014

JNW

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Since the measuring accuracy and environment of each sensor are different, there must exist difference in the correctness of measurement. If the testing data is not processed and utilized with distinction, it will cause impreciseness to the testing results and lead to errors of the system. It is necessary to selectively distinguish the importance among the sensors, contraposing the situation of each sensor in the testing system and the accuracy of tests. So the related concepts of data aggregation technology in wireless sensor networks and the aggregation algorithm performance evaluation criteria are introduced. The core problem in WSN, aggregation operation for sensing data, is studied deeply. The problems in node data group when the distributed clustering technology is implemented to WSN are also analyzed. Then a distributed K-mean clustering algorithm based on WSN is proposed. On the basis of this improved algorithm, we realize a network data aggregation processing mechanism based on adaptive weighted allocation of WSN. DKC algorithm is mainly used to process the testing data of bottom nodes. When reducing the data redundancy it can provide more accurate field testing information and system status information. It can make rapid packet for the network nodes. The packed data will be used to provide correct judgement, according to the size of its corresponding weight, to acquire more reasonable results. The experiments have demonstrated that our method can greatly decrease the data redundancy of WSN and save large amount of storage resources. The network bandwidth consumption is also reduced. So this scheme has high efficiency and good scalability.

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Section: A Performance Analysis Based On K-mean Clustering Algorithmmentioning

confidence: 99%

A Data-aggregation Scheme for WSN based on Optimal Weight Allocation

Zou¹,

Liu²

2014

JNW

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Design of Digital Control DC Voltage Source Based on AT89C52 MCU

Wang

2014

AMM

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the system to DC voltage source as the core, AT89C52 MCU as the main controller, the output voltage to set the DC power supply through the keyboard, with a step function voltage to reality, the actual output value. This design is divided into four modules: SCM control and display module, digital to analog (D/A) conversion module, a constant voltage source module, output module. MCU control module as the core, the input signal is converted to digital quantity output; constant current source module voltage D/A conversion to analog conversion into constant pressure through a constant voltage circuit. The system has good reliability, high precision.

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Enable Energy Efficiency of Object Tracking using Sentinel based Multisensor Sleep Scheduling

Fu¹,

Liu²,

Hu³

2012

JNW

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As a way of lifetime extension, the energy efficiency has become a crucial criterion in the design of object tracking sensor networks (OTSN). In this paper, we propose a sentinel based sleep scheduling called Sleep Scheduling Protocol (SSP) to reduce the number of the awakened sensor nodes with less performance loss while existing solutions either suffer from increasing of event detecting delays or computing overhead. SSP is built upon cluster based network structure. Each cluster contains group of sensor nodes divided in terms of geometric information. Sentinels will be selected from each cluster for probing object moving trajectory and maintaining communication routes. In the approach, sentinels will remain active or be scheduled to periodic sleep. The rest of the nodes remain sleeping until being waked up by sentinels and only maintain low communication power to stay accessible for energy saving. We compare SSP with three sleep based scheduling protocols via simulation. The results show that SSP can reduce average energy consumption but with reasonable detection probability and delay.

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A Task Scheduling Strategy in Heterogeneous Multi-sinks Wireless Sensor Networks

Cited by 3 publications

References 14 publications

A Data-aggregation Scheme for WSN based on Optimal Weight Allocation

A Data-aggregation Scheme for WSN based on Optimal Weight Allocation

Design of Digital Control DC Voltage Source Based on AT89C52 MCU

Enable Energy Efficiency of Object Tracking using Sentinel based Multisensor Sleep Scheduling

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