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
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