AN ENHANCED TECHNIQUE FOR DISTRIBUTED LOAD BALANCED DEPUTY CLUSTERING AND DUAL DATA UPLOADING IN WSN
Keywords:
WSN, load balancing, Data Gathering, multi-user multiple-input and multiple-output (MU-MIMO), Clustering.Abstract
- Wireless sensor networks (WSNs) are resource controlled network in which energy is one of the mainly
significant resources in such kind of networks. Due to scarce computational power and energy resources, aggregation of
data from multiple sensor nodes done at the aggregating node is generally skilled by straightforward methods such as
averaging. Therefore, optimal use of energy is necessary. In this paper, we described a energy-efficient routing protocol
which is a novel approach for Multi-user Multiple-input and Multiple-output (MU-MIMO) for WSNs. The protocol is
consistent in terms of data release at the base station (BS).This protocol organizes the data gathering and data
aggregation on three different layers such as sensor layer, cluster head layer or deputy cluster head level and mobile
collector. The proposed protocol employee distributed load balanced clustering and dual data uploading (LBC-DDU) at
first layer which is suggested for sensors to categorize independently into clusters. At the second layer called cluster
head layer or deputy cluster head level which chooses based on node status and load to form a inter-cluster transmission
to connect the clusters. The third layer is the last layer called mobile collector layer provides two antennas which allows
two cluster heads to upload the data concurrently every time.