Optimizing communication and computational costs based on the edge participation probability and the evolved variational message passing algorithm in wireless sensor networks

2020 ◽  
Vol 101 ◽  
pp. 102093 ◽  
Author(s):  
Kaouther Hedhly ◽  
Mohamed Laaraiedh ◽  
Fatma Abdelkefi ◽  
Mohamed Siala
Sensors ◽  
2018 ◽  
Vol 19 (1) ◽  
pp. 75 ◽  
Author(s):  
Jaeyoung Kang ◽  
Illsoo Sohn ◽  
Sang Hyun Lee

This paper proposes a distributed energy-efficient clustering protocol for wireless sensor networks (WSNs). Based on low-energy adaptive clustering hierarchy (LEACH) protocol, the proposed LEACH-eXtended Message-Passing (LEACH-XMP) substantially improves a cluster formation algorithm, which is critical forWSN operations. Unlike the previous approaches, a realistic non-linear energy consumption model is considered, which renders the clustering optimization highly nonlinear and challenging. To this end, a state-of-the-art message-passing approach is introduced to develop an efficient distributed algorithm. The main benefits of the proposed technique are its inherent nature of a distributed algorithmand the saving of computational load imposed for each node. Thus, it proves useful for a practical deployment. In addition, the proposed algorithm rapidly converges to a very accurate solution within a few iterations. Simulation results ensure that the proposed LEACH-XMP maximizes the network lifetime and outperforms existing techniques consistently.


2017 ◽  
Vol 11 (7) ◽  
pp. 1106-1113 ◽  
Author(s):  
Jianhua Cui ◽  
Zhongyong Wang ◽  
Chuanzong Zhang ◽  
Yuanyuan Zhang ◽  
Zhengyu Zhu

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