484 research outputs found
On the connectivity of circularly distributed nodes in ad hoc wireless networks
Abstract-This paper examines the probability of connectivity of ad hoc wireless networks in which nodes are uniformly distributed on the circumference of a circle. We derive the exact probability that the network is composed of at most C clusters. The probability of connectivity is obtained by considering the case of C equal to unity. We also consider the distribution of nodes over a circular disk. The probability of connectivity for this case is found by fitting a log-logistic function using Minimum Mean Square Error (MMSE) criterion
Enhancing coverage and reducing power consumption in peer-to-peer networks through airborne relaying
Percolation and Connectivity on the Signal to Interference Ratio Graph
A wireless communication network is considered where any two nodes are
connected if the signal-to-interference ratio (SIR) between them is greater
than a threshold. Assuming that the nodes of the wireless network are
distributed as a Poisson point process (PPP), percolation (unbounded connected
cluster) on the resulting SIR graph is studied as a function of the density of
the PPP. For both the path-loss as well as path-loss plus fading model of
signal propagation, it is shown that for a small enough threshold, there exists
a closed interval of densities for which percolation happens with non-zero
probability. Conversely, for the path-loss model of signal propagation, it is
shown that for a large enough threshold, there exists a closed interval of
densities for which the probability of percolation is zero. Restricting all
nodes to lie in an unit square, connectivity properties of the SIR graph are
also studied. Assigning separate frequency bands or time-slots proportional to
the logarithm of the number of nodes to different nodes for
transmission/reception is sufficient to guarantee connectivity in the SIR
graph.Comment: To appear in the Proceedings of the IEEE Conference on Computer
Communications (INFOCOM 2012), to be held in Orlando Florida Mar. 201
Improving Ad Hoc Networks Capacity and Connectivity Using Dynamic Blind Beamforming
We propose a dynamic blind beamforming scheme which allows to benefit from antenna directivity in large mobile ad hoc networks while avoiding heavy feedback to track mobile nodes localization. By orienting its directional antenna successively in all directions, a source surely but blindly hits its destination without knowing its exact position. Performance is analyzed in terms of total network throughput and connectivity and the optimal number of rotations allowing to maximize performance is shown to result from a trade-off between delay and improvements in terms of interference. In large ad hoc networks, known to be interference limited, we show that dynamic blind beamforming can outperform omnidirectional transmissions both in terms of capacity and connectivit
Distributed Clustering Based on Node Density and Distance in Wireless Sensor Networks
Wireless Sensor Networks (WSNs) are special type of network with sensing and monitoring the physical parameters with the property of autonomous in nature. To implement this autonomy and network management the common method used is hierarchical clustering. Hierarchical clustering helps for ease access to data collection and forwarding the same to the base station. The proposed Distributed Self-organizing Load Balancing Clustering Algorithm (DSLBCA) for WSNs designed considering the parameters of neighbor distance, residual energy, and node density. The validity of the DSLBCA has been shown by comparing the network lifetime and energy dissipation with Low Energy Adaptive Clustering Hierarchy (LEACH), and Hybrid Energy Efficient Distributed Clustering (HEED). The proposed algorithm shows improved result in enhancing the life time of the network in both stationary and mobile environment
Maximal Ratio Transmission in Wireless Poisson Networks under Spatially Correlated Fading Channels
The downlink of a wireless network where multi-antenna base stations (BSs)
communicate with single-antenna mobile stations (MSs) using maximal ratio
transmission (MRT) is considered here. The locations of BSs are modeled by a
homogeneous Poisson point process (PPP) and the channel gains between the
multiple antennas of each BS and the single antenna of each MS are modeled as
spatially arbitrarily correlated Rayleigh random variables. We first present
novel closed-form expressions for the distribution of the power of the
interference resulting from the coexistence of one intended and one unintended
MRT over the considered correlated fading channels. The derived expressions are
then used to obtain closed-form expressions for the success probability and
area spectral efficiency of the wireless communication network under
investigation. Simulation results corroborate the validity of the presented
expressions. A key result of this work is that the effect of spatial
correlation on the network throughput may be contrasting depending on the
density of BSs, the signal-to-interference-plus-noise ratio (SINR) level, and
the background noise power.Comment: 6 pages, 6 figures, IEEE GLOBECOM 201
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