Using Nearest Neighbor Method and Subtractive Clustering-Based Method on Antenna-Array Selection Used in Virtual MIMO in Wireless Sensor Network

Wireless Sensor Network (WSN) is combined with many sensor node (SN). Since SN is restricted to the communication range, the physical communication distances have to be considered during the network operation process. In this paper, we proposed to use Subtractive Clustering method to determine the sink node on a LEACH-based Two-tier network and after that, using Nearest-neighbor method( i.e. Single-linkage method) to select the suitable nodes to act as the visual Multi-input-multi-output (MIMO) antenna-array, which are used to multiple transmitting and receiving data. Previous study have shown successfully that HNN could be used to select the nodes to act as the antennas-array of MIMO, however, the method we proposed, Nearest-neighbor method, can reach the same result but less computational time. Although, HNN method is known for its quickly convergence speed during the network learning operation. However, HNN still have to take more time than the method we proposed. This study was based on LEACH to formulate the visual MIMO antenna-array. Finally, we will discuss the simulation result and indicate the effectiveness of the proposed method for the further study.