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Aiming at the problem that the node energy is limited, the network cycle is short and the throughput is low in the wireless sensor network, Dynamic Routing Protocol Based on Clustering was proposed known as KACO (K-means and Ant Colony Optimal). At the beginning it employs ant colony optimal and k-means algorithm to form cluster, and the novel method which consider the energy ratio, node location...
Similar to the terrestrial sensor networks, the design of underwater wireless sensor networks (UWSN) has several challenges such as limited bandwidth, defective underwater channels and high propagation delay. Another primordial problem in UWSN is energy resource depletion of sensor node, which cannot be recharged; also solar energy cannot be exploited. In the coming years the number of sensor used...
Wireless Sensor Network (WSN) is a network of portable and lightweight sensors used to monitor a specific field and report the data they detect wirelessly to a sink node responsible for the analysis and decision making. WSNs have limited power as well as resources. More advanced sensors known as "multimodal sensors" can report more than one feature, which requires even more efficient utilization...
The clustering algorithms for wireless sensor networks might differ depending on the application and network architecture. Not all clustering algorithms are suitable for wireless indoor monitoring system. In this article, we summarize the features of wireless indoor monitoring system, analyze the clustering algorithms for wireless sensor networks, and provide a clustering algorithm based on K-means...
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