Open AccessCommunication MWSN Data Transmission Mechanism Based on a Wireless Sensor Network
Author(s) -
Wei Jin,
R. K. Gupta,
Basant Tiwari
Publication year - 2022
Publication title -
journal of sensors
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.399
H-Index - 43
eISSN - 1687-7268
pISSN - 1687-725X
DOI - 10.1155/2022/9466387
Subject(s) - wireless sensor network , computer science , flooding (psychology) , computer network , key distribution in wireless sensor networks , node (physics) , energy consumption , data transmission , transmission (telecommunications) , reliability (semiconductor) , data aggregator , mobile wireless sensor network , real time computing , wireless , wireless network , power (physics) , engineering , telecommunications , psychology , electrical engineering , structural engineering , psychotherapist , physics , quantum mechanics
A wireless sensor network (WSN) is considered to have a wide application prospect in a smart distribution network due to its unique low power consumption, fast self-organization, and superior coordination. In order to study the communication MWSN data transmission mechanism based on a wireless sensor network, the difficulty of applying a wireless sensor network to an intelligent distribution network communication is to meet the real-time and reliability requirements of power industry distribution network data communication specifications under the limited network resources. Firstly, the transmission probability is calculated by considering the path loss, the speed of the node, the direction of the node, and the residual energy of the node. In addition, the transmission and replacement order of the message is determined according to the survival time of the data message. Simulation experiments are carried out on MATLAB. The result shows the proposed routing algorithm, compared with the DT algorithm, flooding algorithm, and FAD algorithm, the delivery rate of data messages is increased by at least 6%, and the number of copies is reduced by at least 10% compared with the flooding algorithm and the FAD algorithm. On the basis of satisfying the mobility of sink nodes, the algorithm proposed in this paper can effectively save network energy consumption and prolong the network lifetime.