Residual Energy-Based Cluster-Head Selection in WSNs for IoT Application
KIIT University · East Tennessee State University · +1 more institution
Abstract
Wireless sensor networks (WSNs) groups specialized transducers that provide sensing services to Internet of Things (IoT) devices with limited energy and storage resources. Since replacement or recharging of batteries in sensor nodes is almost impossible, power consumption becomes one of the crucial design issues in WSN. Clustering algorithm plays an important role in power conservation for the energy constrained network. Choosing a cluster head (CH) can appropriately balance the load in the network thereby reducing energy consumption and enhancing lifetime. This paper focuses on an efficient CH election scheme that rotates the CH position among the nodes with higher energy level as compared to other. The…
Citation impact
- FWCI
- 52.96
- Percentile
- 100%
- References
- 39
Authors
6Topics & keywords
- Computer science
- Wireless sensor network
- Cluster analysis
- Energy consumption
- Throughput
- Efficient energy use
- Computer network
- Distributed computing
- Affordable and clean energy