Channel Estimation In Heterogeneous Sensor Wireless Networks

The third revolutionary wave in information technology, represented by Internetof Things (IOT), is arriving and deeply affecting the manners of our work and life. Itscore technology-Wireless sensor networks (WSN) has also gained a lot of attention inthe areas of information technology. In real world application, the sensor nodes inWSN are often deployed in harsh environment while their limited energy andcommunication range. With such resource constraints, it remains to be an openresearch issue to accomplish efficient channel estimation to provide a highly reliablecommunication.The paper addresses this issue by studying channel estimation based on trainingsequence/pilot in heterogeneous wireless sensor networks. Specifically, according tocharacteristics of clustering network structure, the paper researches on channelestimation on the channel among cluster nodes and among cluster head nodesrespectively. Firstly, the paper introduces some important concepts such ascharacteristics and common channel models of heterogeneous wireless sensornetworks, and discusses the establishment of clustering structure. Based on this, wethen proposed a new LS algorithm based on pilot in channel estimation between clusterhead node and cluster nodes in heterogeneous wireless sensor networks. The proposedalgorithm achieves a better performance without adding much computation complexity.Furthermore, we model the channel gains among the cluster head nodes inheterogeneous wireless sensor networks. Based on the model, we apply a distributedchannel gain estimation algorithm to make effective use of the prior informationtogether with standard channel training methods. The simulation results show that thealgorithm is very efficient.