This paper presents wireless sensor network (WSN) for environmental monitoring with optimized lifetime. The node is equipped with multimode sensors for sensing different environmental parameters. An efficient utilization of power is essential in order to use networks for long duration, hence it is needed to reduce data traffic inside sensor networks, reduce amount of data that need to send to sink. This paper aims at studying different strategies to maximize the WSN lifetime, including routing, data aggregation, data accuracy and energy consumption. The main idea is to define a multi-metrics protocol that takes into account the residual energy within sensor nodes, data aggregation and data accuracy.This paper considers three optimization metrics. First of all, it considers the construction of routing tree with energy and distance parameters.The objective is to maximize the number of data gathering queues answered until the first node m the network fails. Secondly, data aggregation is done by gathering data in an energy efficient manner The aim of the proposed work is to compare the performance in terms of energy efficiency in comparison with and without data aggregation in WSN. Thirdly, the trade-off between data quality and energy consumption to increase the lifetime of WSN is considered.
Alexandr MihalyovVictoriia HnatushenkoVladimir HnatushenkoNataliia Vladimirska
Hui WangNazim AgoulmineMaode MaYanliang Jin
Bing PengJunni ZouChong TanMin Wang
Tony DucrocqNathalie MittonMichaël Hauspie
Amit DuaTomasz JastrząbZbigniew J. CzechPavel Krömer