Improved Clustering Model in Wireless Sensor Network. This item is unavailable.
Language: English
Published by LAP LAMBERT Academic Publishing, 2020
- Softcover
- New
Unavailable
Softcover
Condition: New
US$ 41.94
Item description from seller
Improved Clustering Model in Wireless Sensor Network | Pallab Banerjee (u. a.) | Taschenbuch | 68 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202671750 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Seller Inventory # 118752765
- Title
- Improved Clustering Model in Wireless Sensor Network
- Author
- Pallab Banerjee (u. a.)
- Publisher
- LAP LAMBERT Academic Publishing
- Publication year
- 2020
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 6202671750
- ISBN 13
- 9786202671750
- Item weight
- 119 grams
- Dimensions
- 220 x 150 x 5 mm
- Seller catalogs
- Bücher
Wireless Sensor Network (WSN) consists of large number of small sensors with limited energy available at their disposal. Sensor network offers a powerful combination of distributed sensing, computing and communication capabilities. They lend themselves to support countless applications however at the same time, offer numerous challenges due to their peculiar characteristics - primarily the stringent energy-availability constraints of sensing-nodes that WSNs are typically subjected to. Prolonged network lifetime, scalability, node mobility and load balancing are important considerations for designing the WSN application architectures. Clustering of sensor nodes is one of the effective techniques to achieve these goals.The main idea behind the scheme is to minimise the communication distance between the individual sensor nodes using the clustering technique.
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