A Tree-Cluster-Based Data-Gathering Algorithm for Industrial WSNs With a Mobile Sink

IEEE Access

Hongyi Wu¹  Guangjie Han²  Shuai Wu²  Chuan Zhu²  Lei Shu³ 

[1] University of Louisiana at Lafayette, Lafayette, LA, USA;Department of Information and Communication Systems, Hohai University, Changzhou, China;Guangdong Petrochemical Equipment Fault Diagnosis Key Laboratory, Guangdong University of Petrochemical Technology, Maoming, China;

关键词: data gathering scheme;    cluster;    mobile sink;    wireless sensor networks;   

DOI  :  10.1109/ACCESS.2015.2424452

来源: DOAJ

【 摘 要 】

Wireless sensor networks (WSNs) have been widely applied in various industrial applications, which involve collecting a massive amount of heterogeneous sensory data. However, most of the data-gathering strategies for WSNs cannot avoid the hotspot problem in local or whole deployment area. Hotspot problem affects the network connectivity and decreases the network lifetime. Hence, we propose a tree-cluster-based data-gathering algorithm (TCBDGA) for WSNs with a mobile sink. A novel weight-based tree-construction method is introduced. The root nodes of the constructed trees are defined as rendezvous points (RPs). Additionally, some special nodes called subrendezvous points (SRPs) are selected according to their traffic load and hops to root nodes. RPs and SRPs are viewed as stop points of the mobile sink for data collection, and can be reselected after a certain period. The simulation and comparison with other algorithms show that our TCBDGA can significantly balance the load of the whole network, reduce the energy consumption, alleviate the hotspot problem, and prolong the network lifetime.

【 授权许可】

Unknown