A strategy for fault management in LDC wireless sensor network
Jian Yang1, 2, 3
1College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, China
2Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, Jiangsu 210003, China
3Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications), Ministry of Education Jiangsu Province, Nanjing, Jiangsu 210003, China
With rapid development of hardware, wireless sensor networks (WSN) have been applied in a wide range of fields. However, energy cost constrains putting WSN into use. To reduce energy cost, extending life time, WSN in low-duty-cycle (LDC) draws researchers’ attention. In general, work time of a node only occupies 0.1%-10% in a cycle. This model certainly reduces the energy for idle listening. On the other hand, it makes the probability of congestion very high due to a node that can only receive packets when waking up. This paper proposes a new LDCWSN model to solve the congestion from duty schedule. With the model, we show a strategy for WSN fault averting, diagnosing and recovery based on congestion in nodes. We include some attributes of LDC WSN in our strategy, i.e. probability of congestion, scheduler, and link quality. By improving the selection of nodes on every level, we get a low rate for network’s fault appearance, low E2E delay and long lifetime. The simulation’s result shows that our strategy has a better performance in packet loss, energy cost and time delay than proposed WSN fault management.