الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
Internet of things (IoT) is an anywhere anytime networking technique to connect
the smart devices irrespective of their location. loT is a new paradigm that is highly
gaining ground in today’s world. Wireless Sensor Network (WSN) is a prime part
of IoT.
The main goal of the clustering scheme is to collect and aggregate data packets in
an efficient method so as to reduce power consumption, data accuracy and to
increase network lifetime.
In this thesis, a cluster-based energy-efficient router placement scheme for IoT was
implemented, where the K-Means algorithm is used to select the cluster header.
The performance of the implemented scheme was evaluated in terms of energy
consumption, throughput, end-to-end delay, and packet loss.
The simulation results using the python simulator and Nodemcu ’ESP8266’ show
that the energy consumption of the implemented scheme better than that of the
low-energy adaptive clustering hierarchy (LEACH). Furthermore, the scheme
outperformed the low-energy adaptive clustering hierarchy in terms of the end-toend delay, throughput, and packet loss rate.