Energy-Efficient Analysis in Wireless Sensor Networks Applied to Routing Techniques for Internet of Things

Abstract

Imagine being able to connect to the work network from a public park and then meet a friend for coffee or shopping. Imagine finding everything a tourist needs, such as bus schedules, nearby restaurants and other entertainment options in touch screen kiosks conveniently located throughout the city. Most applications of IoT depend on a battery for their operation and they are designed to reduce or even avoid the human intervention in the sensing process. Most IoT projects are motivated by a need to reduce operating energy costs or increase revenue. This paper presents and analyses the energy model of a wireless sensor using four different routing protocols: Multi-Parent Hierarchical (MPH), On Demand Distance Vector (AODV), Dynamic Source Routing (DSR) and ZigBee Tree Routing (ZTR). In these applications, the energy consumption is a key factor, sensors can be located in remote zones difficult to access, so it is not possible to replace the battery continuously. Due to the limitations of battery life, the nodes are designed to save as much energy as possible, and most of the time they are in sleep mode (low power consumption). Finding energy sources for difficult-to-connect device has become a priority for technology, in large part due to the rise of the IoT concept. This is why the network itself must provide energy saving mechanisms and a good solution could be in charge of the packets administration in the network. required format.