By Topic

Cluster based data aggregation in underwater acoustic sensor networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Manjula, R.B. ; Dept. of Electron. & Commun. Eng., REVA Inst. of Technol. & Manage., Bangalore, India ; Manvi, S.S.

The underwater acoustic channel has unique features such as low bandwidth, high propagation delay, high channel error rates, multipath fading and so on and also sensor nodes are constrained of the resources such as limited power, limited memory space and processing speed. In this paper, we are concerned with efficient utilization of these resources by applying data aggregation technique on the sensor data. We propose a data aggregation technique for the underwater acoustic sensor networks(UW-ASNs) involving 3 steps: (i) Formation of clusters (ii) Election of cluster heads (CH) (iii) Transferring of data to the sink node without aggregation and by applying the aggregation technique (averaging technique). A comparative study of with aggregation and without aggregation is carried out. By the simulation results we show that UW-ASNs environment incorporated with the data aggregation technique performs better than without aggregation in terms of energy consumed and network lifetime.

Published in:

India Conference (INDICON), 2012 Annual IEEE

Date of Conference:

7-9 Dec. 2012