Open AccessCollaborative data aggregation using multiple antennas sensors and fusion centre with energy harvesting capability in WSN
Author(s) -
Choubin Morteza,
Taherpour Abass,
Rahmani Mehdi
Publication year - 2019
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2019.0004
Subject(s) - energy harvesting , wireless sensor network , computer science , sensor fusion , data aggregator , throughput , energy (signal processing) , computer network , energy storage , function (biology) , wireless , distributed computing , real time computing , telecommunications , mathematics , machine learning , power (physics) , statistics , physics , quantum mechanics , evolutionary biology , biology
In this study, the authors study the collaborative data aggregation using multiple antennas sensors and fusion centre (FC) with energy harvesting capability in the wireless sensor network (WSN). The optimisation problem is formulated to improve the data transfer rate, based on the parameters of collaboration among sensors, the energy harvesting, and storage of each sensor. In particular, they observe several practical constraints for energy harvesting and capability battery energy storage to maintain network connectivity. They propose three scenarios based on the number of antennas for transferring, collecting, and sharing the data on sensor and FC. It is shown these optimisation problems are a non‐convex and to resolve this issue, the objective function is converted to a convex function using a relaxation method. The numerical results show the impact of different parameters on the data rate at FC and improvement in network connection and throughput by using proposed collaborative data aggregation techniques compared to their counterparts.