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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.

Under Water Sensor Networks UWSN are deployed to form distributed amorphous computing environments. While monitoring the ocean using UWSN, systematic approach has to be implemented inorder to forward data to the surface sinks. Forwarding of such data from ocean bottom to the surface sink is among the major challenges faced by UWSN. In this paper we propose a novel Self Organizing Target-Reporting Sensor Node Selection Algorithm TRSNSA, which makes the network an intelligent sentinel for monitoring Under Water UW environments. Furthermore, the residual energy of sensor nodes is also taken into account in order to improve the network lifetime. Our proposed self organizing algorithm when incorporated while routing can reduce the energy consumption of the network drastically. This algorithm is totally distributed. Each node takes a decision as to who amongst its neighbour those who have detected the target in their vicinity will participate in the routing algorithm. Our proposed technique avoids data packet flooding from source node to destination/ Surface station. Therefore energy of sensor nodes are conserved by avoiding broadcast of data packets to all the underwater sensor nodes.