A Survey on RF Energy Harvesting-RFEH- in WSNs

International audienceLately, WSNs have attracted lot of attention due to their ubiquitous nature and their varied utilization in IOT, Cyber Physical Systems, and other emerging fields. The restricted energy related to wireless sensor networks is a considerable bottleneck of these networks. To surpass this serious limitation, the design and development of high performance and efficient energy harvesting systems for WSN environments are being inspected. We present a comprehensive taxonomy of the different energy harvesting sources that can be adopted by wireless sensor networks. We discuss also many freshly suggested energy prediction models that have the ability to boost the energy harvested in wireless sensor networks. To finish, we identify some of the challenges that still need to be addressed to develop cost-effective, efficient, and reliable energy harvesting systems for the WSN environment

Smart monitoring information system based on RF 433 Mhz (SMIS)

Many research works are devoted to the design of remote control systems of objects. Remote monitoring is among the technologies of data acquisition on a remote object and its characteristics without physical contact with it. These data can be collected by acoustic waves, the distribution of forces and electromagnetic energy to process them to locate the object and its characteristics. This paper presents a smart monitoring information system based on RF 433MHz, Arduinonano and arduinouno named SMIS

MG-leach: an enhanced leach protocol for wireless sensor network

A wireless sensor network is made up of a large number of small sensor nodes with limited energy resources, which is a real problem for this network. In this article, we will study the ingestion of node energy in these networks at the routing level. In addition, we are modifying one of the most popular routing algorithms for data communication in the WSN: LEACH (Adaptive Hierarchy with Low Power Consumption). The modified version of the LEACH base version "MG_LEACH" uses an intermediate cluster header to transmit data, extend the network lifetime and send more data than the original protocol. Our proposed algorithm is simulated using MATLAB to verify the effectiveness of improving the lifetime of this network. The results of the simulation confirmed that the system was working better than the LEACH basic system and that the network life had been improved.