| Issue |
E3S Web Conf.
Volume 125, 2019
The 4th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2019)
|
|
|---|---|---|
| Article Number | 23005 | |
| Number of page(s) | 5 | |
| Section | Decision Support Systems | |
| DOI | https://doi.org/10.1051/e3sconf/201912523005 | |
| Published online | 28 October 2019 | |
Gaussian Prediction Method to Enhance Energy Efficient in Energy Aware AODV
1 Department of Electrical and Electronics Engineering Diponegoro University, Semarang - Indonesia
2 Department of Computer Engineering Diponegoro University, Semarang – Indonesia
* Corresponding author: mh.arief.hidyt@gmail.com
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.
Key words: EA-AODV / Dijkstra Algorithm / Gaussian prediction method / NS2.35
© The Authors, published by EDP Sciences, 2019
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