2021
DOI: 10.1007/s11276-021-02580-8
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A mobility aware duty cycling and preambling solution for wireless sensor network with mobile sink node

Abstract: Utilising the mobilisation of a sink node in a wireless sensor network to combat the energy hole, or hotspot issue, is well referenced. However, another issue, that of energy spikes may remain. With the mobile sink node potentially communicating with some nodes more than others. In this study we propose the Mobility Aware Duty Cycling and Dynamic Preambling Algorithm (MADCaDPAL). This algorithm utilises an existing solution where a communication threshold is built between a mobile sink node using predictable m… Show more

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Cited by 3 publications
(2 citation statements)
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“…At the same time, the energy supply is provided by the sink node to provide greater storage space for the WSN and ensure the stable operation of the data node. By detecting the data node, the effective data are transmitted to the management node, and the monitoring task of identifying multiple attacks is issued [11]. With the support of several control and monitoring applications, wireless sensor networks (WSNs) have gained popularity among the research community.…”
Section: E Wsn Node Modelmentioning
confidence: 99%
“…At the same time, the energy supply is provided by the sink node to provide greater storage space for the WSN and ensure the stable operation of the data node. By detecting the data node, the effective data are transmitted to the management node, and the monitoring task of identifying multiple attacks is issued [11]. With the support of several control and monitoring applications, wireless sensor networks (WSNs) have gained popularity among the research community.…”
Section: E Wsn Node Modelmentioning
confidence: 99%
“…They completed the construction through a new framework guiding the consistent synchronization of multi-agent and complex networks [12]. Thomson et al combined the consistency algorithm and potential game theory to obtain the optimal joint decision matrix for collaborative control by mapping each state of the intelligent system [13]. Venâncio et al explored how to eliminate the excessive dependence of software-defined networks on the centralized controller and the limited availability and scalability of the controller.…”
Section: Related Workmentioning
confidence: 99%