A Multi-Node Detection Algorithm Based on Serial and Threshold in Intelligent Sensor Networks.

complexity intelligent sensor message passing algorithm serial threshold

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
31 Mar 2020
Historique:
received: 25 02 2020
revised: 27 03 2020
accepted: 29 03 2020
entrez: 5 4 2020
pubmed: 5 4 2020
medline: 5 4 2020
Statut: epublish

Résumé

With the continuous progress of science and technology, intelligent wireless sensor network (IWSN) communication has become indispensable in its role in production and life because of its convenient network settings and flexible use. However, with the widespread availability of intelligent wireless sensor networks, the use of many wireless sensor nodes constitutes a multi-node wireless communication system, which turns the accuracy and low complexity of multi-node detection in sensor networks into a problem. Although the traditional algorithm has excellent performance, it cannot give consideration to both accuracy and complexity. Therefore, a maximum logarithm message passing algorithm based on serial and threshold (S-T-Max-log-MPA) for multi-mode detection in IWSN is proposed in this paper. In this algorithm, the threshold is used to determine the necessary conditions of sensor node stability first, and then the sensor node information updating is integrated into the resource node information updating, so that the system can maintain good accuracy, performance, and change the situation of poor system accuracy at low threshold. Compared with the traditional algorithm, the proposed algorithm significantly changes the algorithm complexity reduction rate of the system multi-node detection. Simulation results show that the algorithm has a good balance between accuracy and complexity reduction rate.

Identifiants

pubmed: 32244392
pii: s20071960
doi: 10.3390/s20071960
pmc: PMC7181165
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Youth Science Foundation of Northeast Petroleum University
ID : 2019QNL-34
Organisme : National Natural Science Foundation of China
ID : 61871348

Auteurs

Guanghua Zhang (G)

School of Electrical Engineering and Information, Northeast Petroleum University, Daqing 163318, China.

Zonglin Gu (Z)

School of Electrical Engineering and Information, Northeast Petroleum University, Daqing 163318, China.

Qiannan Zhao (Q)

School of Electrical Engineering and Information, Northeast Petroleum University, Daqing 163318, China.

Jingqiu Ren (J)

School of Electrical Engineering and Information, Northeast Petroleum University, Daqing 163318, China.

Shuai Han (S)

Communication Research Center, Harbin Institute of Technology, Harbin 150080, China.

Weidang Lu (W)

College of Information Engineering, Zhejiang University of Technology, Hangzhou 310014, China.

Classifications MeSH