Gaussian Prediction Method to Enhance Energy Efficient in Energy Aware AODV
One of the concerns in the development routing protocol in Mobile Ad Hoc Network is energy consumption which is very influential on package delivery. Energy Delay Aware Ad hoc Demand on Distance Vector (EA-AODV) is one of the routing protocols for the development of Ad hoc Demand on Vector (AODV) th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2019-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/51/e3sconf_icenis2019_23005.pdf |
| Summary: | One of the concerns in the development routing protocol in Mobile Ad Hoc Network is energy consumption which is very influential on package delivery. Energy Delay Aware Ad hoc Demand on Distance Vector (EA-AODV) is one of the routing protocols for the development of Ad hoc Demand on Vector (AODV) that considers energy when receiving packets stored in the routing table. The routing protocol applies the Dijkstra algorithm to determine the shortest route by considering the sequence number and hop count. In the development carried out on EA-AODV is a modification of the Dijkstra algorithm by adding a gaussian prediction method in consideration of the energy level that is expected to be more efficient in terms of energy consumption. Gaussian prediction method was executed in receive request (RREQ) when the packet saved in the routing table. The Application of the network protocol was conducted by comparing the performance of AODV with EA-AODV. The consumption energy of EA-AODV is more efficient at 12.07% compared to AODV. |
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| ISSN: | 2267-1242 |