Wang Chaowei

Minimal coverage set detecting algorithm for barrier coverage in wireless sensor networks

Barrier coverage has attracted much attention in the past few years for its various applications, such as border surveillance and intrusion detection. In these applications, it is critical to achieve a strong barrier to ensure detecting any penetration of intruders in an energy-efficient manner so that the barrier can be covered with as few active sensors as possible. In this paper, we study the target detection problem through collaborative detecting under probabilistic sensing model, and propose a MCSD (minimal coverage set detecting) based on Graph theory, which seeks to achieve a strong barrier with minimal active sensors, prolonging the network lifetime. Finally, comprehensive simulations demonstrate that the proposed strategy improves network lifetime effectively.

QoS-guaranteed energy saving routing strategy using SDN central control for backbone networks

Abstract This paper targets on energy saving and considers network responding time for backbone networks. The objective is to find idle links as many as possible which can be put into sleep mode under the situation of quality of service (QoS)-guaranteed. This paper proposes a software defined network (SDN) based routing strategy which is especially aimed at QoS-guaranteed energy saving for backbone networks. Under SDN structure, the topology change of network can be detected directly by network controller. And network can be managed more easily and effectively. Based on the open shortest path first (OSPF) protocol, network topology can be changed as little as possible in our strategy. So, the network reconfiguring time caused by the energy saving strategy will be decreased dramatically. This makes the strategy more feasible. Then the backbone network energy optimizing problem is transformed to the maximum clique problem (MCP). And, this paper designed a routing strategy called backbone networks energy saving strategy (BNESS) for energy saving in backbone networks. Simulation result shows that our proposed strategy can save energy and QoS can be guaranteed.

Downlink transmission scheme for massive MU-MIMO system with reduced CSI

This paper consider the problem of obtaining the channel state information (CSI) in downlink massive MU-MIMO systems. As a key technology of future wireless communication, massive MIMO has attracted widespread interest, however, amount of the CSI required became a bottleneck for practical application, especially for FDD transmitting method. In this paper, we propose a novel transmitting scheme, combined user-grouping, intra-group user-scheduling and downlink MU-MIMO precoding, which can reduce the amount of CSI feedback. Our results indicate that the proposed method can reduce the amount of CSI greatly, and have a significant strength with the UEs number increasing.