Call for Papers:Vol.10 Issue.6

Submission
Last date		 30-Dec-2024
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-10,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Randomized Energy Adaptive Routing in MANET to Increase Network Lifetime and Minimize Energy Consumption
PaperId: :  2153
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 3 2016
DUI:    16.0415/IJARIIE-2153
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
JINESH KUMAR SINGHSir Padampat Singhania University,Udaipur- 313601,Rajasthan,INDIA
PRASUN CHAKRABARTISir Padampat Singhania University,Udaipur- 313601,Rajasthan,INDIA
AVINASH PANWARSir Padampat Singhania University,Udaipur- 313601,Rajasthan,INDIA
JITENDRA KAUSHAL SRIVASTAVASir Padampat Singhania University,Udaipur- 313601,Rajasthan,INDIA

Abstract

Wireless Sensor Networks
MANETs ROUTING, IE-AODV, ENERGY ADAPTIVE ROUTING, NS 2
Ad- hoc network is defined as the network in which the users communicate with each other by forming a network on-fly without any centralized node or base station. Here each node act as a host as well as a router and allow packet forwarding to neighbours. Ad hoc networks are highly dynamic in nature. They have highly deployable and self-configurable topologies. Due to self- organizing, self-configuring capability MANET is used in different areas like emergency search and rescue, military, etc. Various routing protocols are defined for these Mobile Ad-hoc networks. One of main problem in Ad hoc network is energy issue in mobile nodes. As the Ad-hoc network node operates on battery power the routing algorithms must take account the node battery status while selecting the routing path between source and destination. The reason of packet drop in MANETs is link break which could be a result of mobility or node failure (due to battery exhaust or some hardware failure). Each drop packet is an energy wastage used in transmission and reception of the dropped packet. The existing routing protocols for MANETs do not support energy based routing path selection as they are not energy adaptive. A new energy Adaptive routing mechanism based on AODV is proposed in this paper which selects the path based on node energy. It calculates the remaining energy levels of the nodes before they are selected for routing path. A threshold value is defined and nodes are considered for routing only if its energy level is above this threshold value. This enforces a fair energy consumption rule on all the nodes of the network between source and destination. Another threshold value is defined which decides when to search for alternate path. If during traffic forwarding a node energy level falls below this threshold value, then the node search for its neighbour with high energy and bypass the traffic to the selected neighbour. This will keep the node from complete battery drain condition and increase the network lifetime. The proposed algorithm also drops some of the unnecessary RREQ randomly based on neighbour count of a node, which further reduce energy consumption of nodes and also reduce congestion during Route Discovery process without affecting the Performance of the routing protocol. The proposed IE-AODV (Improved Energy) is implemented in NS2 simulator. The simulation results have shown an increase in PDR, decrease in delay and throughput is maintained without inducing any significant overhead. The proposed IE-AODV provides more consistent and reliable data transfer compared to general AODV with less average energy consummation. .

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE JINESH KUMAR SINGH, PRASUN CHAKRABARTI, AVINASH PANWAR, and JITENDRA KAUSHAL SRIVASTAVA. "Randomized Energy Adaptive Routing in MANET to Increase Network Lifetime and Minimize Energy Consumption" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 3 2016 Page 488-495
MLA JINESH KUMAR SINGH, PRASUN CHAKRABARTI, AVINASH PANWAR, and JITENDRA KAUSHAL SRIVASTAVA. "Randomized Energy Adaptive Routing in MANET to Increase Network Lifetime and Minimize Energy Consumption." International Journal Of Advance Research And Innovative Ideas In Education 2.3(2016) : 488-495.
APA JINESH KUMAR SINGH, PRASUN CHAKRABARTI, AVINASH PANWAR, & JITENDRA KAUSHAL SRIVASTAVA. (2016). Randomized Energy Adaptive Routing in MANET to Increase Network Lifetime and Minimize Energy Consumption. International Journal Of Advance Research And Innovative Ideas In Education, 2(3), 488-495.
Chicago JINESH KUMAR SINGH, PRASUN CHAKRABARTI, AVINASH PANWAR, and JITENDRA KAUSHAL SRIVASTAVA. "Randomized Energy Adaptive Routing in MANET to Increase Network Lifetime and Minimize Energy Consumption." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 3 (2016) : 488-495.
Oxford JINESH KUMAR SINGH, PRASUN CHAKRABARTI, AVINASH PANWAR, and JITENDRA KAUSHAL SRIVASTAVA. 'Randomized Energy Adaptive Routing in MANET to Increase Network Lifetime and Minimize Energy Consumption', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, 2016, p. 488-495. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Randomized_Energy_Adaptive_Routing_in_MANET_to_Increase_Network_Lifetime_and__Minimize_Energy_Consumption_ijariie2153.pdf (Accessed : ).
Harvard JINESH KUMAR SINGH, PRASUN CHAKRABARTI, AVINASH PANWAR, and JITENDRA KAUSHAL SRIVASTAVA. (2016) 'Randomized Energy Adaptive Routing in MANET to Increase Network Lifetime and Minimize Energy Consumption', International Journal Of Advance Research And Innovative Ideas In Education, 2(3), pp. 488-495IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Randomized_Energy_Adaptive_Routing_in_MANET_to_Increase_Network_Lifetime_and__Minimize_Energy_Consumption_ijariie2153.pdf (Accessed : )
IEEE JINESH KUMAR SINGH, PRASUN CHAKRABARTI, AVINASH PANWAR, and JITENDRA KAUSHAL SRIVASTAVA, "Randomized Energy Adaptive Routing in MANET to Increase Network Lifetime and Minimize Energy Consumption," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, pp. 488-495, May-Jun 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/Randomized_Energy_Adaptive_Routing_in_MANET_to_Increase_Network_Lifetime_and__Minimize_Energy_Consumption_ijariie2153.pdf [Accessed : ].
Turabian JINESH KUMAR SINGH, PRASUN CHAKRABARTI, AVINASH PANWAR, and JITENDRA KAUSHAL SRIVASTAVA. "Randomized Energy Adaptive Routing in MANET to Increase Network Lifetime and Minimize Energy Consumption." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 3 ().
Vancouver JINESH KUMAR SINGH, PRASUN CHAKRABARTI, AVINASH PANWAR, and JITENDRA KAUSHAL SRIVASTAVA. Randomized Energy Adaptive Routing in MANET to Increase Network Lifetime and Minimize Energy Consumption. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(3) : 488-495. Available from: https://ijariie.com/AdminUploadPdf/Randomized_Energy_Adaptive_Routing_in_MANET_to_Increase_Network_Lifetime_and__Minimize_Energy_Consumption_ijariie2153.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Review on Ad Makers- Creation & Design Advertising CampaignsComputer EngineeringSwapnil Ohol1 Download
DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORKComputer ScienceChikati Madhava Rao Download
Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning ModelsComputer ScienceMohmad Ahmed Ali Download
Enhance Accuracy of Medical Disease Prediction Using Machine Learning TechniquesMachine LearningSandeep Singh Sikarwar Download
Transformer-based Generative Adversarial Network (GAN) hybrid model for sentiment analysisInformation Technologyhridesh kumar Download
A Step Ahead in Operational Resilience - Integrating Observability with DevOpsComputer EngineeringAmit Sengupta Download
The Influence of Artificial Intelligence and Human-Computer Interaction on Enhancing Children's Learning ExperiencesComputer Engineering,Supriya S Kendhuli Download
Medicinal Plants Identification Using Deep LearningComputer Engineering Rohan Kumar Verma Download
“How to balance automation and ethics when rolling out AI automation in an Educational Framework”Computer SciecneSudhakar mishra Download
Microservices Fault Tolerance PatternsComputer EngineeringAmit Sengupta Download
Forecasting and Categorization of Cardiac Arrhythmia using Soft Computational ApproachesComputer Science and EngineeringDr. Sivaprakash. C Download
Enhancing CybersecurityComputer EngineeringG Tarun Download
Microservices Design PatternsComputer EngineeringAmit Sengupta Download
The Novel Approach to Detect Kidney Stones Using Deep Learning and Convolutional Neural NetworksCSEN Manjunatha Download
An investigation into the use of deep learning and image processing in the domain of diabetic medical careCSEHR Ravikumar Download
12