Clustering energy-efficient transmission protocol for Wireless Sensor Networks based on ant colony path optimization

2017 ◽  
Author(s):  
Huahongzi Chen ◽  
Ze Lv ◽  
Ruichun Tang ◽  
Ye Tao
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Ant Colony ◽  
Path Optimization ◽  
Wireless Sensor ◽  
Transmission Protocol ◽  
Efficient Transmission

scholarly journals A Co-Design-Based Reliable Low-Latency and Energy-Efficient Transmission Protocol for UWSNs

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6370
Author(s):  
Xiaohui Wei ◽  
Hao Guo ◽  
Xingwang Wang ◽  
Xiaonan Wang ◽  
Chu Wang ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Low Latency ◽  
Media Access Control ◽  
Transmission Protocol ◽  
Underwater Wireless Sensor Networks ◽  
Efficient Transmission ◽  
Control Packets

Recently, underwater wireless sensor networks (UWSNs) have been considered as a powerful technique for many applications. However, acoustic communications in UWSNs bring in huge QoS issues for time-critical applications. Additionally, excessive control packets and multiple copies during the data transmission process exacerbate this challenge. Faced with these problems, we propose a reliable low-latency and energy-efficient transmission protocol for dense 3D underwater wireless sensor networks to improve the QoS of UWSNs. The proposed protocol exploits fewer control packets and reduces data-packet copies effectively through the co-design of routing and media access control (MAC) protocols. The co-design method is divided into two steps. First, the number of handshakes in the MAC process will be greatly reduced via our forwarding-set routing strategy under the guarantee of reliability. Second, with the help of information from the MAC process, network-update messages can be used to replace control packages through mobility prediction when choosing a route. Simulation results show that the proposed protocol has a considerably higher reliability, and lower latency and energy consumption in comparison with existing transmission protocols for a dense underwater wireless sensor network.

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