A Method for Energy Balance and Data Transmission Optimal Routing in Wireless Sensor Networks

• Published in: Sensors (Basel, Switzerland) Vol. 19; no. 13; p. 3017
• Main Authors: Liu, Xuesong, Wu, Jie
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 09.07.2019; MDPI
• Subjects: Alternative energy sources; clustering routing protocol; Data compression; Data transmission; energy balance; Energy consumption; Energy efficiency; International conferences; Internet of Things; optimal routing; Renewable resources; Sensors; Wireless networks; wireless sensor network; China; energy balance; clustering routing protocol; optimal routing; wireless sensor network
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s19133017

Wireless sensor networks are widely used in many fields. Nodes in the network are typically powered by batteries. Because the energy consumption of wireless communication is related to the transmission distance, the energy consumption of nodes in different locations is different, resulting in uneven energy distribution of nodes. In some special applications, all nodes are required to work at the same time, and the uneven energy distribution makes the effective working time of the system subject to the node with the largest energy consumption. The commonly used clustering protocol can play a role in balancing energy consumption, but it does not achieve optimal energy consumption. This paper proposes to use the power supply line to connect the nodes to fully balance the energy. The connection scheme with the shortest power line length is also proposed. On the basis of energy balance, the method of transmitting data with the best hop count is proposed, which fully reduces the power consumption of the data transmission. The simulation results show that the proposed method can effectively reduce the energy consumption and prolong the lifetime of wireless sensor networks.