Disruption Tolerant Network (DTN) is characterized by frequent partitions and intermittent connectivity. Power management issue in such networks is challenging. Existing power management schemes for wireless networks cannot be directly applied to DTNs because they assume the networks are well-connected. Since the network connectivity opportunities are rare, any power management scheme deployed in DTNs should not worsen the existing network connectivity. In this paper, we design a power management scheme called context-aware power management scheme (CAPM) for DTNs. Our CAPM scheme has an adaptive on period feature that allows it to achieve high delivery ratio and low delivery latency when used with Prophet, a recently proposed DTN routing scheme. Via simulations, we evaluate the performance of the CAPM scheme when used with the Prophet routing scheme in different scenarios e.g. different traffic load, node speeds and sleep patterns. Our evaluation results indicate that the CAPM scheme is very promising in providing energy saving (as high as 80%) without degrading much the data delivery performance.
Disruption tolerant networks are designed to deal with the limited connectivity among mobile nodes due to mobility, short range radios or terrain obstacles. Several routing schemes have been proposed for DTNs. These routing schemes rely on the node mobility to deliver packets amidst frequent and extended network partitions using a store-and-forward approach. Recently, researchers have proposed that special stationary nodes are deployed to enhance contact opportunities and hence improve the delivery performance. In this paper, we propose adding directional antenna capability to such advantaged nodes to further enhance the delivery performance. We evaluate the extent of the improved delivery performance when these advantaged nodes are deployed in grid-like or random manners. Unlike the earlier work, in our evaluation, we do not assume that one can learn the mobility patterns of the moving nodes since such learning is not feasible in military and emergency disaster scenarios.Our results indicate that an additional 14% (10%) improvement in delivery ratio can be achieved with grid-like (random) deployments. The improvement in average delivery latency is about 5%.
Abstract-Mobile nodes in some challenging network scenarios suffer from intermittent connectivity and frequent partitions e.g. battlefield and disaster recovery scenarios. Disruption Tolerant Network (DTN) technologies are designed to enable nodes in such environments to communicate with one another. Recently, network coding schemes for DTN has been proposed. However, these schemes work well only in scenarios with homogeneous mobility models. In this paper, we propose an efficient context-aware network coding (CANCO) scheme for DTNs that achieves higher delivery ratio than the existing published network coding schemes in networks where nodes move according to non-homogeneous mobility models. We also show that our scheme delivers 300% more messages with higher data efficiency than a MORE-like scheme because our scheme does not suffer from the stop-andwait feature in the MORE protocol.
Abstract-Some ad hoc network scenarios are characterized by frequent partitions and intermittent connectivity. Hence, existing adhoc routing schemes which assume the existence of end-to-end paths do not work in such challenging networks. A store-and-forward network architecture known as the disruption tolerant network (DTN) has been designed for such challenging network environments.Several unicast and multicast routing schemes have been designed for DTNs. However, the existing multicast routing schemes assume a route discovery process that is similar to the existing adhoc network routing approach, and hence will not work well in very sparse network scenarios. Thus, in this paper, we explore an encounter-based multicast routing (EBMR) scheme for DTNs. Our scheme uses fewer hops for message delivery. We present an analytical framework for estimating the delivery performance of the EBMR scheme, and present some analytical and simulation results to show that the EBMR scheme can achieve higher delivery ratio while maintaining high data transmission efficiency compared to other multicast strategies.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.