Energy efficiency has been the driving force behind the design of communication protocols for battery-constrained wireless sensor networks (WSNs). The energy efficiency and the performance of the proposed protocol stacks, however, degrade dramatically in case the low-powered WSNS are subject to interference from high-power wireless systems such as WLANs. In this paper we propose COG-MAC, a novel cognitive medium…
Social Cognitive Heuristics for adaptive data dissemination in Opportunistic Networks
In typical Opportunistic Networking (OppNets) scenarios, mobile devices collaborate to cooperatively disseminate data toward interested nodes. However, the limited resources and knowledge available at each node, compared to possibly vast amounts of data to be delivered, makes it difficult to devise efficient dissemination schemes. Recent solutions propose to use data dissemination algorithms built on human information processing…
Spectrum occupancy measurement: An autocorrelation based scanning technique using USRP
This paper presents a technique for scanning and evaluating the radio spectrum use. This technique determines the average occupancy of a channel over a specific duration. The technique was implemented using Software Defined Radio units and GNU Radio software. The survey was conducted in Grand Forks, North Dakota, over a frequency range of 824 MHz to 5.8 GHz. The results of…
Optimal power allocation for multiple input single output cognitive radios with antenna selection strategies
The opportunistic spectrum access technology is one of the most promising methods for alleviating the spectrum scarcity problem, which enables a secondary user (SU) to utilise a primary user spectrum band that is detected idle. However, the throughput achieved by cognitive radios is limited by the interference constraint imposing on the SU. Multiple input single output antenna techniques…
Bit error rate of underlay decode-and-forward cognitive networks with best relay selection
This paper provides an analytic performance evaluation of the bit error rate (BER) of underlay decode-and-forward cognitive networks with best relay selection over Rayleigh multipath fading channels. A generalized BER expression valid for arbitrary operational parameters is firstly presented in the form of a single integral, which is then employed for determining the diversity order and coding gain…
Towards a practical cognitive communication network for satellite systems
We present progress toward the formulation of a mathematical model for a cognitive communicationnetwork with applications to satellite systems. Our model employs abstract concepts including communicators, communications channels, and demand for capacity. These model elements may be tailored to represent a wide variety of practical communication scenarios. We present a dynamic automated reasoning methodology which uses the model…
On the performance of decentralized CR MAC protocols under heterogeneous channel sensing conditions
The decentralized Cognitive Radio Medium Access Control (CR MAC) protocols proposed so far are usually evaluated considering homogeneous sensing conditions where all Secondary Users (SUs) share the same view of the channel. By doing so, realistic heterogeneous channel sensing conditions are neglected, which happens due to different spectrum sensing errors and/or different patterns of channel occupation by the…
crSimulator: A discrete simulation model for cognitive radio ad hoc networks in OMNeT ++
Cognitive Radio is an exciting new technology for efficient use of radio spectrum. Research oncognitive radio has for a large part, focused on physical layer issues such as robust spectrum sensing and radio environment characterization. The networking of cognitive radio nodes is equally important however as new protocols need to be developed to cope with physical layer dynamics. The lack of a widely used and open source simulation…
A Cognitive Approach for Performance Enhancement of Wireless Mesh Networks
Providing the required quality of service (QoS) for clients in a wireless mesh network (WMN) is a challenging task. This is due to the complex architecture of the WMN and unpredictable behavior of the wireless links and the intermediate nodes. This can be alleviated by introducing a cognitive mechanism within the WMN. In this paper, a WMN is developed,…
Multi-path routing for a cognitive Wireless Mesh Network
In wireless mesh networks (WMNs), the achievable performance of the nodes depends on the behavior of intermediate routers. Utilizing cognition in the network could result in higher adaptivity to satisfy the end-user requirements. In this paper, we propose a cognitive WMN that utilizes multiple gateways to serve a client through multi-path routing. The injected intellectuality in the network (cognitive process) relieves the capriciousness by…