TY - GEN
T1 - Evaluation of Energy Efficient Clustering Algorithms (E2CA) for Query Based WSNs
AU - Kumar, Pramod
AU - Chaturvedi, Ashvini
PY - 2019/12
Y1 - 2019/12
N2 - The evolution of wireless communications has led to an increase in demand for connectivity through the wireless medium, this emphasises on the need for wireless sensor networks (WSNs) in modern day applications. WSNs are battery operated and have a limited lifetime, it is critical to employ energy-efficient strategies to operate the sensor network. Clustering of sensor nodes is an important factor which can affect the energy profile of the network. Two different clustering schemes, k means and fuzzy c means clustering schemes are used for formation and selection of CH for each cluster. These cluster heads are selected on the basis of two parameters, Euclidean distance between the nodes and cluster heads and the residual energy status (RES). The energy profile of nodes is studied to observe formation of islands and general energy consumption.
AB - The evolution of wireless communications has led to an increase in demand for connectivity through the wireless medium, this emphasises on the need for wireless sensor networks (WSNs) in modern day applications. WSNs are battery operated and have a limited lifetime, it is critical to employ energy-efficient strategies to operate the sensor network. Clustering of sensor nodes is an important factor which can affect the energy profile of the network. Two different clustering schemes, k means and fuzzy c means clustering schemes are used for formation and selection of CH for each cluster. These cluster heads are selected on the basis of two parameters, Euclidean distance between the nodes and cluster heads and the residual energy status (RES). The energy profile of nodes is studied to observe formation of islands and general energy consumption.
UR - https://www.scopus.com/pages/publications/85080884424
UR - https://www.scopus.com/pages/publications/85080884424#tab=citedBy
U2 - 10.1109/ICCIKE47802.2019.9004332
DO - 10.1109/ICCIKE47802.2019.9004332
M3 - Conference contribution
T3 - Proceedings of 2019 International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2019
SP - 16
EP - 19
BT - Proceedings of 2019 International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2019
Y2 - 11 December 2019 through 12 December 2019
ER -