Efficient data redundancy reduction scheme to enhance the life time of wireless sensor networks using conjugative sleep scheduling algorithm
| dc.contributor.guide | Rameshwaran | en_US |
| dc.coverage.spatial | Efficient data redundancy reduction scheme to enhance the life time of Wireless sensor networks using Conjugative sleep scheduling algorithm | en_US |
| dc.creator.researcher | Sampoornam K P | en_US |
| dc.date.accessioned | 2014-08-28T03:49:49Z | |
| dc.date.available | 2014-08-28T03:49:49Z | |
| dc.date.awarded | 30/11/2013 | en_US |
| dc.date.completed | 01/11/2013 | en_US |
| dc.date.issued | 2014-08-28 | |
| dc.date.registered | n.d. | en_US |
| dc.description.abstract | Wireless Sensor Network is a network that encompasses a large number of sensor nodes and one or more Base Stations These nodes are deployed in an ad hoc manner In the beginning WSNs were being mainly constructed for military applications Nowadays it is extended to other applications like environment health habitat monitoring and newlinecommercial purposes Because of the technological advancement, sensors newlinehave become more versatile and are available in smaller sizes Unlike current information services sensor networks promise to couple end users directly to sensor measurements and provides precise information This feature encourages people to use WSNs for many new applications Sensor node comprises of one or more sensors processing unit transceiver and a battery Each of these nodes have the capabilities to collect data from the field and route them to the BS In WSN applications energy consumption has become a critical issue because of the impracticability of the replacement of battery Sensor node spends its energy for sensing the environment for processing the sensed information and for transmitting the processed data using transceiver When the sensor node loses its energy the network connectivity gets affected Then no data packet can be transmitted to newlinethe base station newline | en_US |
| dc.description.note | References p.162-170, | en_US |
| dc.format.accompanyingmaterial | None | en_US |
| dc.format.dimensions | 23cm. | en_US |
| dc.format.extent | xxviii, 173p. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10603/24185 | |
| dc.language | English | en_US |
| dc.publisher.institution | Faculty of Information and Communication Engineering | en_US |
| dc.publisher.place | Chennai | en_US |
| dc.publisher.university | Anna University | en_US |
| dc.relation | p.162-170. | en_US |
| dc.rights | university | en_US |
| dc.source.university | University | en_US |
| dc.subject.keyword | Conjugative sleep scheduling algorithm | en_US |
| dc.subject.keyword | Information and communication engineering | en_US |
| dc.subject.keyword | Wireless Sensor Networks | en_US |
| dc.title | Efficient data redundancy reduction scheme to enhance the life time of wireless sensor networks using conjugative sleep scheduling algorithm | en_US |
| dc.title.alternative | en_US | |
| dc.type.degree | Ph.D. | en_US |
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