A dynamic energy savvy routing algorithm for mobile Ad-hoc and sensor networks

Mobile Ad-hoc and Sensor Networks (MASNETs) are energy constrained networks which have been the focus of many recent research and development efforts. In MASNETs, the network topologies are frequently change due to the moving sensor nodes that have low radio frequency coverage which make the design...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohamad Nazim, Jambli, Adnan Shahid, Khan, Halikul, Lenando, Jiwa, Abdullah, Sinarwati, Mohamad Suhaili
Format: Article
Language:English
Published: American Scientific Publishers 2017
Subjects:
Online Access:http://ir.unimas.my/id/eprint/19719/1/A-dynamic-energy-savvy-routing-algorithm-for-mobile-Ad-hoc-and-sensor-networks_2017_Advanced-Science-Letters.html
http://ir.unimas.my/id/eprint/19719/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027830606&doi=10.1166%2fasl.2017.7417&partnerID=40&md5=066b33cb788c5ce351d23031dcd4bd3b
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Malaysia Sarawak
Language: English
Description
Summary:Mobile Ad-hoc and Sensor Networks (MASNETs) are energy constrained networks which have been the focus of many recent research and development efforts. In MASNETs, the network topologies are frequently change due to the moving sensor nodes that have low radio frequency coverage which make the design and implementation of a routing protocol in this networks very challenging. Thus, the Dynamic Energy Savvy (DES-AODV) routing algorithm is proposed to enhance the performance of Ad-hoc On Demand Distance Vector (AODV) by changing the routing metric from hop count to estimated distance that is based on the Received Signal Strength Indicator (RSSI) values. The performance of DES-AODV is evaluated and compared with the existing AODV in terms of the average percentage of packet loss and energy consumption with the density of mobile nodes. The simulation results show that the proposed DES-AODV outperforms the existing AODV in both percentage of packet loss and energy consumption. © 2017 American Scientific Publishers All rights reserved.