A New Method to Reduce Energy Consumption in Manet Network Routing based on OLSR Protocol and Genetic Algorithm

نویسندگان

  • Mohammad Alaei Computer Engineering Department, Faculty of Engineering, Vali-e-Asr University, Rafsanjan
  • Samira Fardin Far Department of Computer, Kerman Branch, Islamic Azad University, Kerman, Iran
چکیده مقاله:

Mobile Ad Hoc Networks (MANET) can be considered as a class of unstructured networks created by a number of autonomous wireless and sensor nodes. The inherent characteristics of such networks have made specific applications, such as multimedia transfer and challenging. Basically, the functionality of a node and very few resources directly affect the delivery of packets which depends on the quality of the selected route. Since the nodes in MANET get their energy and power from batteries or other end-to-end resources, the most important criterion to design an optimal system is energy conservation. The purpose of this paper was to increase the efficiency of the OLSR routing protocol by generating new parameters and considering the amount of nodes energy. In this method, the optimal route was selected based on the remained energy in the middle nodes, the distance between the nodes and the number of steps. Therefore, the present paper used a genetic algorithm-based approach for optimal routing in the OLSR protocol based   on the remained energy of each node. It used the weight factor which has been determined based 111on energy consumption combined with shortest routes. It considered the energy factor of each node in routing and selected the optimal route.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

RAWSN: A Routing Algorithm Based on Auxiliary Nodes to Reduce Energy Consumption in Wireless Sensor Networks

In this paper, an algorithm , based on genetics and auxiliary nodes, to reduce energy consumption in wireless sensor networks has been presented. In this research, by considering some parameters as energy and distance, a target function has been created, which is more optimum comparing to other methods. In this research cluster head is selected by genetic algorithm. In RAWSN algorithm a new tec...

متن کامل

rawsn: a routing algorithm based on auxiliary nodes to reduce energy consumption in wireless sensor networks

in this paper, an algorithm , based on genetics and auxiliary nodes, to reduce energy consumption in wireless sensor networks has been presented. in this research, by considering some parameters as energy and distance, a target function has been created, which is more optimum comparing to other methods. in this research cluster head is selected by genetic algorithm. in rawsn algorithm a new tec...

متن کامل

A new approach for energy efficiency in MANET based on the OLSR protocol

One of the critical issues in Mobile Ad hoc Network (MANET) is the energy efficiency. The challenge is how to extend the limited lifetime of energy in mobile nodes. We proposed a new approach to minimise the energy consumption called EM-OLSR (Energy Efficiency in MANET by improving OLSR protocol). EM-OLSR is based on the OLSR routing protocol and adds a new energy fairness parameter to the Mult...

متن کامل

Energy and mobility in OLSR routing protocol

We present in this paper a new mechanism for the OLSR routing Protocol, aiming to improve mobility and energy management in mobile adhoc network. As known OLSR use the concept of an MPR mechanism where only nodes selected as MPRs can relay broadcast packet received from their selectors, those nodes have to satisfy certain requirements to assure this mission , speaking of stability and physical ...

متن کامل

Secure On-Demand Routing Protocol for MANET using Genetic Algorithm

Mobile ad-hoc network networks are self organizing, very dynamic network which support data networking without an infrastructure. The proposed protocol provides secure and adaptive backup routing protocol for MANET. Genetic algorithm (GA) is used to find the optimal path from the available multiple paths between source and destination to be used in the case of link

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ذخیره در منابع من قبلا به منابع من ذحیره شده

{@ msg_add @}


عنوان ژورنال

دوره 9  شماره 3

صفحات  55- 70

تاریخ انتشار 2018-08-01

با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023