Effect of Sound Speed on Localization Algorithm for Underwater Sensor Networks

Naik, Samedha S.; Nene, Manisha J.

doi:10.1007/978-3-642-30111-7_51

Cited by 3 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This technique was analyzed for varying sound speed caused due to ocean parameters. The analysis concludes that the sound speed was predominantly influenced by temperature and very less by salinity and pressure [13]. As in Figure. Sound speed was predominantly influence by temperature rather than salinity and pressure [11].…”

Section: Effect Of Ocean Parameters On Average Errormentioning

confidence: 64%

See 1 more Smart Citation

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

Naik¹

2012

IJWMN

View full text Add to dashboard Cite

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.

show abstract

Section: Effect Of Ocean Parameters On Average Errormentioning

confidence: 64%

“…The above mentioned technique was simulated for 2D UWSN [13] and is also suitable for 3D scenario. This technique was analyzed for varying sound speed caused due to ocean parameters.…”

Section: Effect Of Ocean Parameters On Average Errormentioning

confidence: 99%

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

Naik¹

2012

IJWMN

View full text Add to dashboard Cite

show abstract

“…Each of the sensor nodes is equipped with pressure sensor, which gives its depth in the ocean. This actual mechanism is formulated very well in [3] [4] [5]. Using this depth information, nodes can adjust themselves to different depths inorder to for a three dimensional architecture.…”

Section: System Architecturementioning

confidence: 99%

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

Naik¹,

Nene²

2012

IJASSN

View full text Add to dashboard Cite

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.

show abstract

UAV Aided Range Free Localisation of Heterogeneous Sensor Networks

Jasrotia

Nene

2020

2020 5th International Conference on Communication and Electronics Systems (ICCES)

View full text Add to dashboard Cite

Effect of Sound Speed on Localization Algorithm for Underwater Sensor Networks

Cited by 3 publications

References 9 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

UAV Aided Range Free Localisation of Heterogeneous Sensor Networks

Contact Info

Product

Resources

About