Abstract
This article analyzes the node importance in linear wireless sensor networks, which can be used to identify the key states of nodes that affect the wireless sensor network performance most. First, the sensor energy can be divided into energy of sensing event, energy of transmitting packets, and energy of receiving packets. The node residual energy of after data flow transmission in linear wireless sensor networks from source nodes and relay nodes is evaluated. Second, the node state is divided into four states based on the data packets transmitting. From the view of reliability theory, a data-flow model is analyzed to calculate the state probability of source node and relay node in the time period [0, t]. Third, the node importance is analyzed, and the ranking of node importance values can be used by designers and managers to identify the most important node for improving the wireless sensor network system reliability. At last, a numerical example is given to demonstrate the proposed methods.
Highlights
Advanced developments in wireless communication technology and microelectronic technique encourage the production and wide application of wireless sensor networks (WSNs)
Wang et al.[3] modeled the reliability of wireless sensor nodes under three different scenarios, contributing toward reliability analysis of WSN systems
Zonouz et al.[4] gave the reliability of two different types of sensor nodes: (1) energy harvesting sensor nodes and (2) battery-powered sensor nodes in single-path routing protocols of WSNs
Summary
Advanced developments in wireless communication technology and microelectronic technique encourage the production and wide application of wireless sensor networks (WSNs). The node states in WSNs are multiple, which are identified by receiving and transmitting data packets. From the view of reliability theory, a data-flow model is analyzed to compute the state probability of source node and relay node in the time period [0, t]. One packet is sent to the relay node for each event At this strategy, the source node operates either in active mode (i.e. sensing or transmitting) or in sleep mode. The distribution of the number of data packets sensed in a duty cycle by the source node is ðlarÞk PcycðkÞ=PfmðarÞ=kg= k! If node n is transmitting a packet to node n + 1, the receiving signal quality can be measured as the received signal-power-to-noise power ratio (SNR) value, Gn. The success probability of packet transmission by source node to relay node is Pstn = PfGn ! The state probabilities of source node are given as follows
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