Improved energy efficient clustering in manets using meta- heuristic optimization
By: Periyakaruppan, K
.
Contributor(s): Chellapraba, B | Manohari, D | Kavitha, M.S.
Publisher: Chennai ICT Academy 2022Edition: Vol.13(01) - March.Description: 2616-2620p.Subject(s): Electronics & Computer Science (ECS)Online resources: Click here to access online
In:
ICTACT journal on communication technologySummary: A mobile ad hoc network (MANET) is a wireless network created by a
radio terminal built into a mesh topology. Each node is deflected with
respect to the other nodes. The Temporary networks can self-heal and
automatically redirect back around a lost node. There is an MANET
networks require different network layout protocols, such as remote
hierarchical remote vector navigation, associative-based navigation,
ad-assigning remote vector navigation, and dynamic source
navigation. An improved meta-heuristic optimization algorithm is
proposed in this paper. It works in conjunction with an autonomous
mobile network to increase its power and efficiency. It can transmit
large amounts of data using less power and its bandwidth speed
increases as its data transfer speed increases. This will improve the
amount of service generated there and the users can satisfy the
provided services.
Keywords:
MANET, Mesh Topology, Autonomous Mobile Network, Energy
Efficiency
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2022-1046 |
A mobile ad hoc network (MANET) is a wireless network created by a
radio terminal built into a mesh topology. Each node is deflected with
respect to the other nodes. The Temporary networks can self-heal and
automatically redirect back around a lost node. There is an MANET
networks require different network layout protocols, such as remote
hierarchical remote vector navigation, associative-based navigation,
ad-assigning remote vector navigation, and dynamic source
navigation. An improved meta-heuristic optimization algorithm is
proposed in this paper. It works in conjunction with an autonomous
mobile network to increase its power and efficiency. It can transmit
large amounts of data using less power and its bandwidth speed
increases as its data transfer speed increases. This will improve the
amount of service generated there and the users can satisfy the
provided services.
Keywords:
MANET, Mesh Topology, Autonomous Mobile Network, Energy
Efficiency
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