Abstract
Clustering is vital for lengthening the lives of resource-constrained wireless sensor nodes. In this work, we propose a cluster-based energy-efficient router placement scheme for wireless sensor networks, where the K-means algorithm is used to select the initial cluster headers and then a cluster header with sufficient battery energy is selected within each cluster. The performance of the proposed scheme was evaluated in terms of the energy consumption, end-to-end delay, and packet loss. Our simulation results using the OPNET simulator revealed that the energy consumption of our proposed scheme was better than that of the low-energy adaptive clustering hierarchy, which is known to be an energy-efficient clustering mechanism. Furthermore, our scheme outperformed low-energy adaptive clustering hierarchy in terms of the end-to-end delay, throughput, and packet loss rate.
Highlights
The use of wireless sensor networks (WSNs)[1] has significantly grown in the past few years, demonstrating the crucial need for scalable energy-efficient routing, data collection, and aggregation procedures in large-scale environments.[2]
To materialize the proposed scheme, we used the K-means clustering algorithm to place the routers in the process of establishing cluster header (CH)
We proposed a cluster-based energy-efficient router placement for WSNs
Summary
The use of wireless sensor networks (WSNs)[1] has significantly grown in the past few years, demonstrating the crucial need for scalable energy-efficient routing, data collection, and aggregation procedures in large-scale environments.[2] The ability to support economical battery-powered nodes requires a low data rate for communication and a long battery life, which have driven the development of ZigBee standards.[3] Unlike most wireless networking paradigms, which are designed to support long-range transmissions, ZigBee is designed for short-range communication. Clustered systems reduce the communication overhead and offer an efficient resource allocation, thereby decreasing the overall energy consumption and interference between SNs. In clustering, the placement of the routers must guarantee the connectivity, allowing every sensor to be able to communicate through the CHs with the gateway node.
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More From: International Journal of Distributed Sensor Networks
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