Self organizing localization algorithm for large scale Underwater Sensor Network

Naik, Samedha S.; Nene, Manisha J.

doi:10.1109/racss.2012.6212725

Cited by 12 publications

(5 citation statements)

References 11 publications

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“…AUV aided sensor networks though costly, can provide a better option to function without tethers, cables, or remote control. In [5] the localization algorithm for 2D UWSN is well explored. In section 4, we will be formulating localization algorithm for 3D UWSN.…”

Section: Underwater Sensor Network Architecturementioning

confidence: 99%

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

Naik¹

2012

IJWMN

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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.

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Section: Underwater Sensor Network Architecturementioning

confidence: 99%

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

Naik¹

2012

IJWMN

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“…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.…”

Section: Primitive Steps For Trsnsamentioning

confidence: 99%

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

Naik¹,

Nene²

2012

IJASSN

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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.

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“…UWSN is an important part of Wireless Sensor Network (WSN). Underwater wireless sensor networks inherit the characteristics of small size of terrestrial sensor nodes, relatively low cost, and easy node deployment, which make them have great advantages in the underwater environment [2]. UWSN mainly collects information through sensor nodes deployed underwater and transmits, processes, and fuses the collected data [3].…”

Section: Introductionmentioning

confidence: 99%

A Survey of Localization Techniques for Underwater Wireless Sensor Networks

2023

JCEIM

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With the continuous development of marine resources, the position of Underwater Wireless Sensor Network (UWSN) is becoming more and more important, and UWSN needs to know the location of sensor nodes when completing tasks such as marine data collection, environmental monitoring, and aiding navigation, etc. Accurate sensor node location information is the key to effective acquisition of underwater data. The key to effective underwater data acquisition is accurate sensor node location information. Due to the influence of the environment, global positioning system (GPS) signals cannot be propagated underwater, so hydroacoustic communication becomes the best choice for node positioning. However, the unstable underwater environment brings a series of challenges to hydroacoustic communication, such as high channel bit error rate, low bandwidth, large propagation delay, and obvious multipath effect. According to the characteristics and challenges of hydroacoustic communication, this paper classifies the localization algorithms of underwater wireless sensor networks into (i) distance-based and distance-free localization algorithms, (ii) single-hop and multi-hop localization algorithms, and (iii) distributed and centralized localization algorithms.

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Self organizing localization algorithm for large scale Underwater Sensor Network

Cited by 12 publications

References 11 publications

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

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

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

A Survey of Localization Techniques for Underwater Wireless Sensor Networks

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