An RSSI-based error collection applied to estimated sensor locations

We consider a wireless sensor network (WSN) that needs to install hundreds of sensor nodes over a vast extent of land, (e.g., an orchard temperature sensor network). For monitoring critical events such as frost-prone temperature over an orchard, WSN users, (namely farmers) need to identify all sensor locations, which is however overwhelming from the viewpoints of costs and man power. To address this problem, we enabled non-GPS-adapted sensors to accurately estimate their locations by applying our RSSI (received signal strength indication)-based error-correcting algorithm to a conventional location-estimating method named Gomashio [1]. The paper presents our algorithm and demonstrates its performance improvement in estimating sensor locations as compared to Gomashio.