9,686 research outputs found
A survey on network simulators in three-dimensional wireless ad hoc and sensor networks
© 2016 The Author(s). As steady research in wireless ad hoc and sensor networks is going on, performance evaluation through relevant network simulator becomes indispensable procedure to demonstrate superiority to comparative schemes and suitability in most literatures. Thus, it is very important to establish credibility of simulation results by investigating merits and limitations of each simulator prior to selection. Based on this motivation, in this article, we present a comprehensive survey on current network simulators for new emerging research area, three-dimensional wireless ad hoc and sensor networks which is represented by airborne ad hoc networks and underwater sensor networks by reviewing major existing simulators as well as presenting their main features in several aspects. In addition, we address the outstanding mobility models which are main components in simulation study for self-organizing ad hoc networks. Finally, open research issues and research challenges are discussed and presented
Spatial networks with wireless applications
Many networks have nodes located in physical space, with links more common
between closely spaced pairs of nodes. For example, the nodes could be wireless
devices and links communication channels in a wireless mesh network. We
describe recent work involving such networks, considering effects due to the
geometry (convex,non-convex, and fractal), node distribution,
distance-dependent link probability, mobility, directivity and interference.Comment: Review article- an amended version with a new title from the origina
Energy Efficiency in Two-Tiered Wireless Sensor Networks
We study a two-tiered wireless sensor network (WSN) consisting of access
points (APs) and base stations (BSs). The sensing data, which is
distributed on the sensing field according to a density function , is first
transmitted to the APs and then forwarded to the BSs. Our goal is to find an
optimal deployment of APs and BSs to minimize the average weighted total, or
Lagrangian, of sensor and AP powers. For , we show that the optimal
deployment of APs is simply a linear transformation of the optimal -level
quantizer for density , and the sole BS should be located at the geometric
centroid of the sensing field. Also, for a one-dimensional network and uniform
, we determine the optimal deployment of APs and BSs for any and .
Moreover, to numerically optimize node deployment for general scenarios, we
propose one- and two-tiered Lloyd algorithms and analyze their convergence
properties. Simulation results show that, when compared to random deployment,
our algorithms can save up to 79\% of the power on average.Comment: 11 pages, 7 figure
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