Construction of data transmission consistency verification model of Petri net based on fuzzy C-means

2021 ◽  
Author(s):  
Zuopeng Wang ◽  
Zhenying Zhu
2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Osama Moh’d Alia

Energy conservation in wireless sensor networks (WSNs) is a vital consideration when designing wireless networking protocols. In this paper, we propose a Decentralized Fuzzy Clustering Protocol, named DCFP, which minimizes total network energy dissipation to promote maximum network lifetime. The process of constructing the infrastructure for a given WSN is performed only once at the beginning of the protocol at a base station, which remains unchanged throughout the network’s lifetime. In this initial construction step, a fuzzy C-means algorithm is adopted to allocate sensor nodes into their most appropriate clusters. Subsequently, the protocol runs its rounds where each round is divided into a CH-Election phase and a Data Transmission phase. In the CH-Election phase, the election of new cluster heads is done locally in each cluster where a new multicriteria objective function is proposed to enhance the quality of elected cluster heads. In the Data Transmission phase, the sensing and data transmission from each sensor node to their respective cluster head is performed and cluster heads in turn aggregate and send the sensed data to the base station. Simulation results demonstrate that the proposed protocol improves network lifetime, data delivery, and energy consumption compared to other well-known energy-efficient protocols.


2017 ◽  
Vol 25 (101) ◽  
pp. 324-331
Author(s):  
Andrey, Bryanskiy ◽  
Keyword(s):  

2011 ◽  
Vol E94-B (11) ◽  
pp. 3172-3174 ◽  
Author(s):  
Takashi MARUYAMA ◽  
Tatsuya SHIMIZU ◽  
Mamoru AKIMOTO ◽  
Kazuki MARUTA

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