Abstract
The lifetime of underwater sensor networks (USNs) can be prolonged significantly thanks to wireless power transfer technology. In this paper, we first proposed a Shortest Path Partial Charging based on Charging Curve Scheme (SPBS) to increase the survival rate of nodes in 3D underwater networks, and then we proposed a concept of secondary charging stations for mobile charging ships to reduce the traveling cost and improve charging efficiency. We first use k-means clustering algorithm to divide our network with k clusters, and then we place our secondary stations at k clustering centers, in this way, mobile charging ships can be charged at secondary stations quickly. Based on secondary stations, we proposed Hamilton Charging Scheme (HCS) using the Hamilton ring, and then we proposed a temporal and spatial collaborative charging algorithm (mCS-TS) for USNs with multiple mobile charging ships and secondary charging stations, which also takes the cluster factor and deadline time into consideration. Simulation results show the effectiveness of our proposed algorithms.
Highlights
With the development of emerging information and communication technologies, such as intelligent Internet of things, 5G, cloud computing, artificial intelligence and machine learning, great changes have taken place in people’s lifestyles
Inspired by the charging scheduling of Mobile chargers (MCs) applied in the wireless sensor networks (WRSNs) networks and underwater charging model and charging schemes proposed in [32], we first proposed an efficient algorithm based on charging curve named SPBS for underwater sensor networks (USNs) and proposed the concept of secondary charging stations applied to USNs
In this paper, we focus on extending the lifetime of USNs by effective charging schemes with effective usage of energy and low dead rate of nodes
Summary
With the development of emerging information and communication technologies, such as intelligent Internet of things, 5G, cloud computing, artificial intelligence and machine learning, great changes have taken place in people’s lifestyles. The advancement of wireless communication and microelectronic technology contributed to the emergence of wireless sensor networks and bring a new choice for extending batteries lifetime. Underwater sensor networks (USNs) have become a research hotpot in many countries. USNs [8] are a new type of sensor networks applied to water environment These are widely used in activities such as sea information collection [9], [10] and underwater resource exploration [11], [12]. 3. Proposed algorithms, charging models, charging schemes based on WRSNs are not suitable for underwater sensor networks. We focus on extend the lifetime of USNs by effective charging schemes with effective usage of energy and low dead rate of nodes.
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