Smart Agriculture Environment Using Evolutionary Wireless Sensor Node Localization

Abstract

Agriculture is the backbone of our country and it is the essential sources of all living things. In today scenario, agriculture crops are affected because of the environmental changes. The environmental changes are monitored using the wireless sensor networks (WSN) technology and in current research WSN plays vital role. WSN can be used to monitor, checking temperature, water measurement, irrigation and measuring air level etc., Due to the smart monitoring environment, farmer can produce high quantity of crop with minimum cost.  The cost of WSN management also low in agriculture. Based on the literature, there are four kinds of sensors are used in smart agriculture environment such as temperature sensor, humidity sensor, soil moisture sensor and Bio sensor. To place the sensors in the correct place will reduce the cost and increase the management of the environment in a timely manner. Sensor node localization is another issue to place the sensor at the correct place. To overcome this, in this proposed work, we used Elephant Herding optimization algorithm with decision trees for localization to place the sensor at needed area. This will increase the production and reduce the time and cost of sensors.