Abstract:
In this paper, we investigate homogeneous clustering algorithm for the machine-type communication networks to minimize device energy consumption and prolong the network b...Show MoreMetadata
Abstract:
In this paper, we investigate homogeneous clustering algorithm for the machine-type communication networks to minimize device energy consumption and prolong the network battery lifetime. First, we present a homogeneous clustering approach that considers both the average residual energy and the distance from device to the base station. Second, we obtain the optimal number of the clusters to minimize the energy consumption for single round and formulate an energy-efficient cluster head selection scheme. At last, we propose an improved algorithm based on the optimal result to make the formulated homogeneous clustering algorithm more feasible. To evaluate the performance of our algorithms, simulations are conducted to compare its performance with the low-energy adaptive clustering hierarchy (LEACH) algorithm. Results show that the proposed algorithm greatly extends the network lifetime.
Date of Conference: 12-14 November 2018
Date Added to IEEE Xplore: 03 February 2019
ISBN Information:
Print on Demand(PoD) ISSN: 2163-0771