Abstract:
Localization is an important aspect of wireless sensor networks (WSNs). A wireless
sensor network consists of a large number of small, low-cost, low-power sensors
with limited processing power that communicate with each other on an ad-hoc basis.
The physical coordinates of the sensor nodes within the decision task WSN
are called localization or positioning. A key component in today’s communication
systems for estimating the origin of an event. B. Different location accuracy requirements
for different applications, different localizations. Focusing on the latter, this
post explores different measurement techniques and strategies for distance-based
and non-distance-based localization. In addition, we discuss various location-based
applications in which position estimation is performed. Wireless sensor networks
(WSNs) help us monitor our physical environment more closely. Localization is a
major challenge in such networks, as the reported data is useless without locating
the sensors reporting it. Anchor-based and anchor-free approaches, where the DV
hop algorithm is an anchor-based approach. This document modifies the DV hop
algorithm. A drawback of the DV hopping algorithm is that it does not work well
with sparse topologies. The results show that the accuracy of the modified DV-hop
algorithm is better than that of the DV-hop algorithm, and the modified DV-hop
algorithm works even in sparse networks.
Description:
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electronics and Telecommunication Engineering of East West University, Dhaka, Bangladesh
