JOURNAL ARTICLE

Performance modeling of message-driven based energy-efficient routing in delay-tolerant networks with individual node selfishness

Abstract

Delay-Tolerant Networks (DTNs) are wireless mobile networks having intermittent connectivity among the nodes. DTN nodes mostly operate on limited battery power. Hence, in such networks, there is an immediate need to have energy efficient routing protocol, allowing the network to perform better and live longer for a message with lifetime E t and delivery probability D p . Most of the work in DTN assumes that all the nodes are co-operative in nature, but in real world, all nodes are not always co-operative, and show some form of selfishness. We propose a message-driven based algorithm add-on to the existing routing protocols (such as Epidemic Routing (ER) and Two-Hop Routing (2HR)), that enables forwards based on individual message lifetime and delivery requirements, there by improving energy efficiency. Further we analytically model the performance of these protocols with energy-efficiency add-on in DTN, with individual node selfishness using Ordinary Differential Equations (ODEs). The results show that the proposed energy-efficient add-on improves the energy efficiency up to 90% for both ER and 2HR protocols. The analysis is validated through extensive simulation.

Keywords:
Selfishness Routing protocol Computer science Computer network Node (physics) Routing (electronic design automation) Efficient energy use Delay-tolerant networking Geographic routing Link-state routing protocol Interior gateway protocol Distributed computing Wireless Routing Protocol Engineering

Metrics

13
Cited By
1.45
FWCI (Field Weighted Citation Impact)
22
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Opportunistic and Delay-Tolerant Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
Mobile Ad Hoc Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
Caching and Content Delivery
Physical Sciences →  Computer Science →  Computer Networks and Communications
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