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Lower message complexity makes the ANTC protocol scalable and suitable for energy and resource constraint sensor networks.
This could potentially benefit devices of different wireless network technologies like mesh routers with multiple interfaces, or memory constraint sensor nodes.
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A key challenge for wireless sensor networks is how to extend network lifetime with dynamic power management on energy-constraint sensor nodes.
Also, it is generally assumed that, due to bandwidth constraints, sensor contacts are unavailable to the track fusion system.
Such problems include real-time constraints, sensor acquisition independence from robot movement, multi-rate parallel data acquisition and memory limitations.
Because of cost and resource constraints, sensor nodes do not have a complicated hardware architecture or operating system to protect program safety.
In this paper, considering the energy constraint for sensor nodes and the unacceptable long propagation delay, especially for latency sensitive applications of underwater acoustic sensor networks, we propose a MAC protocol that is latency-optimized and energy-efficient scheme and combines the Physical layer and the MAC layer to shorten transmission delay.
Furthermore, it has been proven to be suitable for real-time operation on a resource constraint wireless sensor node.
To meet the delay constraint, each sensor determines the transmission order of packets with the consideration of their remaining hops to the destination.
The problem of sampled-data-based vibration control for structural systems with finite-time state constraint and sensor outage is investigated in this paper.
In large-scale WSNs, due to the resource constraint on sensor nodes, it is still an extremely challenging task to achieve good performance in terms of high network connectivity and strong resilience against sensor nodes capture with low overheads.
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