Auction-based adaptive sensor activation algorithm for target tracking in wireless sensor networks

Zheng, Jinhua; Bhuiyan, Zakirul Alam; Liang, Shaohua; Xing, Xiaofei; Wang, Guojun

doi:10.1016/j.future.2013.12.014

Cited by 80 publications

(41 citation statements)

References 36 publications

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“…Zheng's [5] paper focusing on multi-sink node WSNs performs in-depth study from the routing protocol design, multiple sink nodes re-positioning technology and data aggregation strategies respectively, and also proposes relative algorithms. The paper proposes an optimal routing selection algorithm based on fuzzy comprehensive evaluation theory.…”

Section: Overview IImentioning

confidence: 99%

Data Aggregation in Wireless Sensor Networks

Luo¹

2016

Int. J. Onl. Eng.

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Abstract-In order to solve the problem of low efficiency and high energy consumption in data processing, In this paper, for reducing the communication overhead of data aggregation, we put forward a cluster division based data aggregation scheme for wireless sensor networks in which the cluster is divided into three subareas and some report nodes are assigned to each subarea. Simulation results show that, compared with LEACH algorithm, BP neural network and PSO-BP algorithm, more than 50% lower compression error is decreased and the simplicity of the improved algorithm makes it suitable for massive and the long term environmental monitoring network.

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Section: Overview IImentioning

confidence: 99%

Data Aggregation in Wireless Sensor Networks

Luo¹

2016

Int. J. Onl. Eng.

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“…Especially, SODG algorithm can conserve 64% energy compared with PEGASIS algorithm, and decrease 80% delay compared with ring-based gathering protocols. Based on the research on the data gathering problem and combined with the practical requirements, Zheng [9] develops a fire monitoring prototype system. His paper also introduces the system architecture, the functional modules of the system and key energy-conserve technologies on the different layers of the protocol stack.…”

Section: Overview IImentioning

confidence: 99%

Network Service Method under Cloud Environment of Wireless Sensor Networks in Disaster Situation

Chen¹

2016

Int. J. Onl. Eng.

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Abstract-The sensor networks are characterized by tiny, inexpensive, and advanced communication technology. However, wireless ad-hoc sensor networks (WASNs) have some issues such as the limited amount of energy, multipath fading, and some other issues when they applied in disaster situations. For reducing power consumption, we show mathematical analysis of energy saving, and enhanced error symbol probability. The simulation results prove our analysis. As for the multipath fading, we also show the mathematical analysis of fading channel characteristics and channel model, as well as how to mitigate the multipath fading by modulation and diversity techniques. From the simulation results, we prove the proposed system with amplify-and-forward (AF) relaying can achieve a 2.5 dB performance gain the BER 10 -4 whereas the achievable improvement is almost a 4 dB at the BER 10 -5 when using maximal ratio combining.

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“…There are two approximate algorithms, one is called the online algorithm, and the other is named the offline algorithm. After that, we give the proof of their performance ratio; the complexity analysis of the improved Hadoop algorithm is also given [9][10]. The other class of algorithms finds the associations without candidacy.…”

Section: Overview IImentioning

confidence: 99%

Design of Multi-level Teaching System Based on Association Rule Mining

Zhang

Luo

2016

Int. J. Emerg. Technol. Learn.

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Abstract-In order to improve the overall performance for the multi-level teaching system, a system with Multi-strata teaching is designed. It divides the whole class into smaller parts based on their knowledge level and learning ability and teach students in accordance with their aptitude. The system used the model of C/S, and applies ASP in the interactive user interface. The data mining algorithm is also presented in the study. The system was tested with practical data. The results show that with the teaching system teachers can separate students into different parts and get a very good idea about how much students can learn.

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Auction-based adaptive sensor activation algorithm for target tracking in wireless sensor networks

Cited by 80 publications

References 36 publications

Data Aggregation in Wireless Sensor Networks

Data Aggregation in Wireless Sensor Networks

Network Service Method under Cloud Environment of Wireless Sensor Networks in Disaster Situation

Design of Multi-level Teaching System Based on Association Rule Mining

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