Data traffic analysis in wireless fusion network with multiple sensors

Abstract

In this paper, we consider a wireless fusion sensor network where multiple types of sensors are incorporated in each sensor node. Each sensor node incorporates a RFID reader and a acoustic sensor. The RFID reader senses the proximity of target objects and acoustic sensors detect the objects for position estimations. The object positions estimated by both sensors are compensated by visual sensor to obtain more accurate object coordinates. In this paper, we perform network traffic analysis for the wireless fusion sensor network by using NS-2 simulations under various network scenarios. The analysis includes the feasibility of fusion network, hop-by-hop delay, and end-to-end delay.