Realization of 3D Underwater Wireless Sensor Networks and Influence of Ocean Parameters on Node Location Estimation

Abstract

Autonomous Under Water Sensor Networks UWSNs form distributed amorphous computing environments. This emerging technology will pay off the need of conventional large, expensive, individual Ocean monitoring equipment. Efficient resolution for an unreachable UWSN which includes failureprone nodes will require strategies that are as simple as possible in computations and local communications, to facilitate self-organization. In this paper, we propose a distributed self organizing localization algorithm for localization in 3 Dimensional 3D UWSN. Unlike in terrestrial positioning, Under Water UW networks experience various impediments. These hurdles are caused due to variation in different UW parameters, especially in the ocean. We propose an efficient localization technique for 3D UW networks. Our proposed technique eliminates errors encountered during localization process. Further we study the effect of sound speed using our proposed localization algorithm and localization technique. The proposed localization technique is also analysed for anomaly caused due to erroneous depth which is calculated using pressure sensors. The simulated results are analysed to find the average error in calculated node location. The results show that this localization technique realized using our self organizing algorithm incurs less computational and communicational burden.

Self Organizing Target- Reporting Sensor Node Selection for Underwater Wireless Sensor Network

“…Step 2: Once a target is detected the sensor node updates its target data and sets its target flag to 1. Target location is found by already existing localization algorithms like [12] [13]. The Euclidean distance between the node and the target is stored in the target distance data structure.…”

Coverage and Connectivity in 3D Wireless Sensor Networks

“…Naik et al [44] describes the effect of ocean parameters on acoustic signals in the context node location estimation. Due to acoustic nature of the communication signals, the distance measurements in UW-ASNs can be affected by temperature, salinity and depth.…”