Proceedings ArticleDOI
Implementation of energy efficient algorithm in delay tolerant networks
Nimish Ukey,Lalit Kulkarni +1 more
- pp 93-99
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TLDR
A new energy efficient algorithm is proposed which forwards the packet to the nearest neighbor node which also uses the probability distribution function to forward the bundle to the next best hop which requires the least energy for the transmission.Abstract:
Delay Tolerant Networks is an emerging technique which supports for the intermittent connectivity. Previously, for transmission of bundles the end-to-end connection was required to carry out the transmission successfully. But now, using the store-carry-forward mechanism and the node mobility it is possible to transmit the data from the source to the destination even if there is no end to end connection between them. There are different routing strategies which are formed in a DTN environment to reduce the message overhead and for increasing the message delivery probability, but very few take the energy into a consideration while designing. DTN nodes have a very limited amount of energy resources which holds a great significance. To perform any kind of operation between various nodes, i.e. sending bundle, searching for the neighbor node, storing bundle, etc the energy is used. Hence, in this paper, we proposed a new energy efficient algorithm to improve the energy efficiency. This algorithm forwards the packet to the nearest neighbor node which also uses the probability distribution function to forward the bundle to the next best hop which requires the least energy for the transmission. It also narrows down the specific region for the transmission of data by using the angle based transmission. The freshly energized node is redeployed in the network. With the help of Opportunistic Network Simulator results, it is proven that the designed algorithm is more energy efficient than the previous distance based algorithm.read more
References
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Proceedings ArticleDOI
Enhancements of Epidemic Routing in Delay Tolerant Networks from an energy perspective
TL;DR: This paper proposes an extended approach aimed at the routing optimization in terms of energy consumption and message delivery probability, and evaluated through a deep campaign of simulations verifying that the proposed extended epidemic approach leads the system to an overall enhancement.
Journal ArticleDOI
Optimal Energy-Aware Epidemic Routing in DTNs
TL;DR: This work mathematically characterize the fundamental trade-off between energy conservation and a measure of Quality of Service as a dynamic energy-dependent optimal control problem and proves that in the mean-field regime, the optimal dynamic forwarding decisions follow simple threshold-based structures.
Proceedings ArticleDOI
Energy efficient opportunistic routing in wireless networks
TL;DR: This paper investigates how to select and prioritize forwarder list to minimize energy consumptions and conducts extensive simulations in TOSSIM to study the performance of the proposed routing protocol by comparing it with ExOR.
Journal ArticleDOI
Green Cooperative Cognitive Communication and Networking: A New Paradigm for Wireless Networks
Lin Chen,Wei Wang,Alagan Anpalagan,Athanasios V. Vasilakos,Kandasamy Illanko,Honggang Wang,Muhammad Naeem +6 more
TL;DR: This article presents a systematic overview on the tools and techniques that can be used to solve problems arising in energy efficiency optimization problem in this context and highlights design challenges and open issues in embracing green technologies in different and cross layers of communication and networking.
Proceedings ArticleDOI
Distance-based energy-efficient opportunistic forwarding in mobile delay tolerant networks
TL;DR: In the developed algorithms, the forwarding equivalent energy-efficiency distance (FEED) is introduced to quantify the transmission distances achieving the same energy efficiency at different time instances and the expected energy efficiency can thus be estimated based on the FEED.
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