Please use this identifier to cite or link to this item:
http://dspace.dtu.ac.in:8080/jspui/handle/repository/16328
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | ANSARI, MUKHTAR ALI | - |
dc.date.accessioned | 2019-09-04T06:20:42Z | - |
dc.date.available | 2019-09-04T06:20:42Z | - |
dc.date.issued | 2018-06 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/16328 | - |
dc.description.abstract | Continuous advances in computation power, compactness of memory, energy efficiency in radio technology, had made wide-scale deployment of sensor networks inevitable in today’s scenario. Nodes in WSN (Wireless Sensor Networks) autonomously collect information about ambience and dump them to sink nodes (central entity of a WSN). A crucial cost for autonomous behavior is energy. Since, WSN are data-centric, there is a need to analyze data to avoid redundancy, before data extraction. Directed Diffusion is a protocol proposed to gain the same goal. In this paper, we presented some additional paradigms using random numbers to convert the two-phase model in one phase, making backtrack to sink node easier and also chosen path on the basis on energy efficiency and survivability rather than latency. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | TD-4220; | - |
dc.subject | DIRECTED DIFFUSION | en_US |
dc.subject | ENERGY CONSUMPTION | en_US |
dc.subject | WSN | en_US |
dc.title | ADVANCEMENT IN DIRECTED DIFFUSION TO REDUCE ENERGY CONSUMPTION IN WSN | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | M.E./M.Tech. Computer Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2K16_CSE_07.pdf | 835.74 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.