Abstract
Evolution of wireless and digital communication gives birth to the smaller but powerful battery-equipped devices which are easy to maintain and perform the desired tasks. ZigBee is a Wireless Personal Area Network (WPAN) used for home or indoor automation, collecting data for medical research by using the low power digital radios to handle the low data rate. In ZigBee network, sensor nodes are heterogeneously deployed and continuously moving. To detect and tracking of those sensor nodes are challenging in terms of accuracy, calculation time and energy consumption. In this paper, proposed system uses the Received Signal Strength Indication (RSSI) protocol for localization, trilateration for fetching the exact coordinates of sensor nodes and these protocols helps to overcome the problem which eventually led to prolonged sensor network, accurate localization.
Highlights
WSN consists of multiple heterogeneous and homogeneous sensor nodes [1]
The most popular method in distance estimation www.ijacsa.thesai.org (IJACSA) International Journal of Advanced Computer Science and Applications, Vol 9, No 12, 2018 for wireless systems is the Received Signal Strength Indicator (RSSI) technique, which is based on the physical fact of wireless communication that theoretically, the signal strength is inversely proportional to the squared distance between the transmitter and receiver [5]
There are 52 sensor nodes deployed randomly in the wireless network where nodes ranging from 0 to 44 are sensor nodes, nodes ranging from 46 to are mobile nodes and node is programmed as sink node
Summary
The basic difference between these two are consists in their basic feature i.e. initial power, processing capability, signal strength etc These nodes are used to gather the data from the surrounding. Each sensor node consists of battery, sensor unit, memory unit, transceiver (omniAntenna) and processor unit These parameters have their own unique function to perform in the network. Battery-equipped sensor nodes are used to provide the power; sensor unit uses the omniAntenaa for transceiver for sensing the environment and collect the desired data packets. Localization techniques for WSN consist of the algorithms that estimate the locations of sensors with initially unknown position information normally using available information about the absolute positions of a few other sensors and position measurements. The coordinates of the sensors with unknown location information called blind or non-anchor nodes, it is estimated by various sensor network localization techniques. The most popular method in distance estimation www.ijacsa.thesai.org (IJACSA) International Journal of Advanced Computer Science and Applications, Vol 9, No 12, 2018 for wireless systems is the Received Signal Strength Indicator (RSSI) technique, which is based on the physical fact of wireless communication that theoretically, the signal strength is inversely proportional to the squared distance between the transmitter and receiver [5]
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