9,849 research outputs found
Using Neighborhood Beyond One Hop in Disruption-Tolerant Networks
Most disruption-tolerant networking (DTN) protocols available in the
literature have focused on mere contact and intercontact characteristics to
make forwarding decisions. Nevertheless, there is a world behind contacts: just
because one node is not in contact with some potential destination, it does not
mean that this node is alone. There may be interesting end-to-end transmission
opportunities through other nearby nodes. Existing protocols miss such
possibilities by maintaining a simple contact-based view of the network. In
this paper, we investigate how the vicinity of a node evolves through time and
whether such information can be useful when routing data. We observe a clear
tradeoff between routing performance and the cost for monitoring the
neighborhood. Our analyses suggest that limiting a node's neighborhood view to
three or four hops is more than enough to significantly improve forwarding
efficiency without incurring prohibitive overhead.Comment: 5 pages, 5 figures, 1 tabl
The heterogeneity of inter-contact time distributions: its importance for routing in delay tolerant networks
Prior work on routing in delay tolerant networks (DTNs) has commonly made the
assumption that each pair of nodes shares the same inter-contact time
distribution as every other pair. The main argument in this paper is that
researchers should also be looking at heterogeneous inter-contact time
distributions. We demonstrate the presence of such heterogeneity in the
often-used Dartmouth Wi-Fi data set. We also show that DTN routing can benefit
from knowing these distributions. We first introduce a new stochastic model
focusing on the inter-contact time distributions between all pairs of nodes,
which we validate on real connectivity patterns. We then analytically derive
the mean delivery time for a bundle of information traversing the network for
simple single copy routing schemes. The purpose is to examine the theoretic
impact of heterogeneous inter-contact time distributions. Finally, we show that
we can exploit this user diversity to improve routing performance.Comment: 6 page
Improved Fair-Zone technique using Mobility Prediction in WSN
The self-organizational ability of ad-hoc Wireless Sensor Networks (WSNs) has
led them to be the most popular choice in ubiquitous computing. Clustering
sensor nodes organizing them hierarchically have proven to be an effective
method to provide better data aggregation and scalability for the sensor
network while conserving limited energy. It has some limitation in energy and
mobility of nodes. In this paper we propose a mobility prediction technique
which tries overcoming above mentioned problems and improves the life time of
the network. The technique used here is Exponential Moving Average for online
updates of nodal contact probability in cluster based network.Comment: 10 pages, 7 figures, Published in International Journal Of Advanced
Smart Sensor Network Systems (IJASSN
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