Kanru Xu

Learn More
Energy-constrained wireless sensor networks require robust and energy-efficient wireless communication protocols to minimize the energy consumption as much as possible. Cooperative MIMO transmission is one of the new solutions to this problem. In this paper, we first analyze the energy efficiency of cooperative MIMO transmission with the consideration of(More)
Wireless sensor networks have limited energy resource and therefore energy-efficient protocols are required to minimize the energy consumption. The virtual MIMO technique is considered as one of the new solutions to solve this problem. In this paper, in order to maximize the network lifetime, we propose a virtual MIMO transmission scheme coupled with(More)
In this paper, a novel cluster-based multihop virtual MIMO communication protocol is proposed by consideration of energy efficient cooperative MIMO transmission and STBC training overhead of the MIMO channel in wireless sensor networks. In the protocol, we use a semi-centralized approach to form clusters and select optimal routing of the mutihop cooperative(More)
We present a cluster-based virtual multiple-input single-output (vMISO) multihop cooperative transmission protocol in wireless sensor networks. In order to construct the cooperative transmission, we arrange each hop into two consecutive time slots: the intra-cluster slot, that accounts for data sharing within the cluster, and the inter-cluster slot for(More)
Cooperative MIMO transmission technique is considered as one of the effective solutions to reduce the energy consumption in wireless sensor networks. However, the existing cooperative MIMO based protocols only focused on how to reduce the energy consumption, but for some applications such as audio/video surveillance sensor network, a large amount of(More)
Node localization is very important for wireless sensor networks. Traditional localization methods usually cannot perform well in practical sensor networks which are affected by several well-known factors, such as low node density, anisotropic deployment terrain, imprecise GPS node position and noisy range measurements. In this paper, we propose a robust(More)
  • 1