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A Flow-Weighted Scale-Free Topology for Wireless SensorNetworks
Abstract:
In this paper, complex network theory is used to generate robust scale-free
topology for wireless sensor networks (WSNs). Nodes in WSNs consume
energy in two stages: network generation and network operation. Existing
scale-free models for WSNs focus on the energy in the first stage.
However, sensors consume most energy in the second stage. This paper
proposes a method called flow-aware scale-free (FASF)model to balance
the energy consumption of sensors in the second stage. Taking into account
the traffic flow in the network, a WSN is modeled as a
weighted network and its energy usage is balanced. Both analysis and
simulations indicate that FASF enhances connectivity and network lifetime,
achieves high robustness against node failures, and at the same time
maintains the scale-invariant property.

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A flow weighted scale-free topology for wireless sensor networks

  • 1. A Flow-Weighted Scale-Free Topology for Wireless SensorNetworks Abstract: In this paper, complex network theory is used to generate robust scale-free topology for wireless sensor networks (WSNs). Nodes in WSNs consume energy in two stages: network generation and network operation. Existing scale-free models for WSNs focus on the energy in the first stage. However, sensors consume most energy in the second stage. This paper proposes a method called flow-aware scale-free (FASF)model to balance the energy consumption of sensors in the second stage. Taking into account the traffic flow in the network, a WSN is modeled as a weighted network and its energy usage is balanced. Both analysis and simulations indicate that FASF enhances connectivity and network lifetime, achieves high robustness against node failures, and at the same time maintains the scale-invariant property.