Underwater localization and node mobility estimation

<p><span lang="EN-US">In this paper, localizing a moving node in the context of underwater wireless sensor networks (UWSNs) is considered. Most existing algorithms have had designed to work with static networks. However, practical case, dynamic due relative motion between transmitter and receiver. The main idea record time arrival message (ToA) stamp estimating drift sampling frequency accordingly. It should be emphasized that, channel conditions such as multipath delay spread, ambient noise considered make system pragmatic. A joint prediction mobility speed are estimated based on offset estimation. This detected correlating an anticipated window orthogonal division multiplexing (OFDM) received packet. range distance mobile predicted from at packet reused position estimation algorithm. acoustic paper 8 paths maximum spread 48 ms simulate pragmatic case. performance evaluated by adopting different nodes speeds simulation two scenarios expansion compression. results show that proposed algorithm has stable profile presence severe conditions. Also, result shows can adopted 9 km/h case more than compression scenario. In addition, comparison triangular (DTN) presented order evaluate system.</span></p>