Abstract
The stability degree of key nodes is an important indicator of wireless sensor network performance. Appropriate node importance evaluation method is a precondition for the identification of key node and the analysis on network stability. The current methods based on average length and network density are unable to make real-time evaluation on nodes in practical application. Thus, this paper puts forward a node importance evaluation method in wireless sensor network based on energy field model. Based on the data exchange at the network layer in wireless sensor network, this approach analyzes the node properties and correlation among nodes with energy field and graph theory, which shows the influence result of key nodes in wireless sensor network. Therefore, the node influence can be worked out so as to evaluate the importance of node in wireless sensor network. The experimental results show that, compared with the current node importance evaluation methods of wireless sensor network, the approach proposed in this paper not only is able to evaluate the node importance without affecting the operation of network but also shows the dynamic change in node importance.
Highlights
With the feature of flexible network settings and convenient network building, the wireless sensor network, in which the sensors communicate with each other wirelessly, is able to perceive, collect, and process the information in the network monitoring area [1]
This paper proposes a node importance evaluation method in wireless sensor network based on the energy field model, in which the influence transfer refers to the data transmission between different nodes and the transmission process refers to the process of influence transferring along the network topology
Node importance evaluation is a precondition for the identification of key nodes and the analysis on network stability
Summary
With the feature of flexible network settings and convenient network building, the wireless sensor network, in which the sensors communicate with each other wirelessly, is able to perceive, collect, and process the information in the network monitoring area [1]. The wireless sensor network has no preexisting physical infrastructure that restricts the topology [3]. It can be applied in such fields as military, agriculture, meteorology, biology, and inaccessible areas to collect information [4]. Most of the existing methods to evaluate the node importance are based on such indicators as the average path length, the network density, the network diameter, and the electric quantity of node. These methods are using the node-deletion method by removing the key nodes during evaluation and observing the changes (such as network disconnection) of energy consumption
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