Abstract. In this paper, we explore a novel avenue of saving power in sensor networks based on predictable mobility of the observer (or data sink). Predictable mobility is a good model for public transportation vehicles (buses, shuttles and trains), which can act as mobile observers in wide area sensor networks. To understand the gains due to predictable mobility, we model the data collection process as a queuing system, where random arrivals model randomness in the spatial distribution of sensors. Using the queuing model, we analyze the success in data collection, and quantify the power consumption of the network. Even though the modeling is performed for a network which uses only single hop communication, we show that the power savings over a static sensor network are significant. Finally, we present a simple observer-driven communication protocol, which follows naturally from the problem formulation and can be used to achieve the predicted power savings.
In REF , assuming that a prototype is built at the Rice University where university shuttle buses will carry mobile observer as data sink and sensor nodes are deployed on buildings, the authors model the data collection process as queuing system and propose a communication protocol based on predictable mobility pattern of the observer.
Using Predictable Observer Mobility for Power Efficient Design of Sensor Networks
IPSN
Computer Science