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Energy management in WSNs involves not only reducing the energy consumption of a single sensor node but also maximizing the lifetime of the entire network.
Specifically, an optimization algorithm is proposed for maximizing the lifetime of a single-cluster network, followed by an extension to handle multi-cluster networks.
The sensor nodes deployed in wireless sensor networks are extremely power constrained, so maximizing the lifetime of the entire networks is mainly considered in the design.
In the first part of the paper, the profile of a beam loaded in bending is optimized by maximizing the lifetime in the presence of sudden heating.
Motivated by recent developments in wireless sensor networks (WSNs), we present several efficient clustering algorithms for maximizing the lifetime of WSNs, i.e., the duration till a certain percentage of the nodes die.
Some researchers interested in maximizing the lifetime of network.
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Cluster-Head nodes are rotated based on residual energy in order to maximize the lifetime of the network.
At the lower level, we optimize the behavior of each sensor subject to its energy constraint and at the upper level, we maximize the lifetime of the network.
While most of the current proposals focus on minimizing the global energy consumption, we aim here at designing an energy-balancing routing protocol that maximizes the lifetime of the most constraint nodes.
The most effective way to maximize the lifetime of a wireless sensor network (WSN) is to allocate initial energy to sensors such that they exhaust their energy at the same time.
In this paper, we present a novel approach for energy-aware management of sensor networks that maximizes the lifetime of the sensors while achieving acceptable performance for sensed data delivery.
More suggestions(15)
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