Energy Efficient Clustering of Statistically Distributed Heterogeneous Wireless Sensor Networks for Internet-of-Things
Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018
8 Pages Posted: 9 May 2018
Date Written: April 28, 2018
This paper shows the effect of random as well as six statistical distributions on heterogeneous wireless sensor network (WSN) for internet-ofthings (IoTs). The distribution of sensor nodes in a WSN reflects the significant variation occurring in the lifetime performance of network operation.
Novel models of heterogeneous clustering permit the sensor nodes to communicate with different devices of the future WSN-IoT systems in a unique fashion. Different statistical distributions viz. Random, Exponential, Chi-Square, Weibull, Gamma, Gaussian and Beta on heterogeneous broad transmission distance protocol (HT-BTDP) are used here for observing the changes in the performance parameters such as network lifetime, residual energy and energy variance. The strategies are validated on the basis of simulation and compared with various distributions on the classical protocols like stable election protocol (SEP) and energy efficient heterogeneous clustered (EEHC) scheme also.
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