Adaptive GPS Duty Cycling and Radio Ranging for Energy-Efficient Localization
This paper addresses the trade-off between energy consumption and localization performance in a mobile sensor network application. The focus is on augmenting GPS location with more energy-efficient location sensors to bound position estimate uncertainty in order to prolong node lifetime. The authors use empirical GPS and radio contact data from a large-scale animal tracking deployment to model node mobility, GPS and radio performance. These models are used to explore duty cycling strategies for maintaining position uncertainty within specified bounds.