Mobile Data Gathering with Load Balanced Clustering and Dual Data Uploading in Wireless Sensor Networks

摘要: In this paper, a three-layer framework is proposed for mobile data collection in wireless sensor networks, which includes the layer, cluster head and collector (called SenCar) layer. The employs distributed load balanced clustering dual uploading, referred to as LBC-DDU. objective achieve good scalability, long network lifetime low latency. At (LBC) algorithm sensors self-organize themselves into clusters. contrast existing methods, our scheme generates multiple heads each balance work facilitate uploading. inter-cluster transmission range carefully chosen guarantee connectivity among Multiple within cooperate with other perform energy-saving communications. Through transmissions, information forwarded SenCar its moving trajectory planning. equipped two antennas, enables simultaneously upload time by utilizing multi-user multiple-input multiple-output (MU-MIMO) technique. planning optimized fully utilize uploading capability properly selecting polling points cluster. By visiting selected point, can efficiently gather from transport static sink. Extensive simulations are conducted evaluate effectiveness of LBC-DDU scheme. results show that when has at most heads, achieves over 50 percent energy saving per node 60 on comparing through multi-hop relay sink, 20 shorter compared traditional gathering.