Data Gathering Protocol for Reducing Energy Utilisation in a Wireless Sensor Network

Energy is a main issue in wireless sensor networks (WSN) that function on limited power supplies
like batteries. Minimisation of energy utilisation is a promising area of research in WSN. However,
energy utilisation of partitioning data still remains a demanding issue. With the objective of reducing
the energy utilisation partitioning multi-hop wireless communications, the Energy-Efficient Traffic
Renovate Partitioning (EETRP) method is proposed in this paper. The network traffic partitioning
method, phantom partitioning, is an efficient technique for practical conditions. The partitioning using
double cut methods yields desirable results with significant reduction in energy utilisation. Renovating
by the EETRP method provides enhanced data gathering by means of centroid mean point gathering.
Crucial sites are recognised and connectivity is reestablished in data aggregation. The results prove that
the EETRP method achieves significant improvement in performance over state-of-the-art methods in
terms of network-connectivity rate, data-gathering accuracy, network-traffic rate, energy-utilisation rate,
node-renovating efficiency and network-partitioning time.