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These nodes are dense nodes that are uniformly deployed to optimize the lifetime.
A correctly balanced line is essential to optimize the lifetime of the tools and electricity and abrasive consumption, but keeping the line under control is difficult due to the fact that working conditions of every wheel are affected by their adjacent wheels.
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For energy-intensive nodes, the duty cycle uses the optimal value to optimize the network lifetime; for those nodes with low energy consumption, the duty cycle is appropriately increased to reduce the transmission delay.
Different from the previous research, the previous optimization strategies choose to increase the energy efficiency of the node and optimize the network lifetime under a certain duty cycle.
We used to deploy the nodes into a non-equidistant method to optimize the network lifetime.
For MPSK modulation technique, we can also use UDNP to optimize the network lifetime.
Our results offer insight into the network deployment and protocol design that optimize the network lifetime.
The strategy of this paper is to further optimize the network lifetime by adjusting the duty cycle when the energy efficiency has reached an optimal value.
Meanwhile, in [28] the authors added a new routing metric to optimize the network lifetime by exploiting the cooperative diversity and jointly considering routing and power allocation schemes.
They mathematically derived expressions for the heterogeneous mixture of devices that optimize the network lifetime with sensing coverage constraint in a single-hop direct communication model, and extended the investigation to multi-hop case through simulations.
In this paper, we propose a cross-layer design scheme for IWSNs which is from duty cycle and node deployment and other layers to optimize the network lifetime and delay.
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