Nanonetworks are expected to expand the capabilities of individual nanomachines by allowing them to cooperate and share information by molecular communication. The information molecules are released by the transmitter nanomachine and diffuse across the aqueous channel as a Brownian motion holding the feature of a strong random movement with a large propagation delay. In order to…
Tags: OMNeT++ simulator
ZigBee-Based Communication System for Data Transfer Within Future Microgrids
A wireless data communication system for future microgrids (MGs) is presented in this paper. It is assumed that each MG has a central controller and each distributed generation unit in the MG has a local controller. The communication system is responsible for transmitting and receiving data amongst these controllers. This communication system is based on ZigBee technology, which is a low…
Design and development of daughter board for USB-UART communication between Raspberry Pi and PC
Development of real time applications using platforms such as Raspberry Pi often requires interfacing of different sensors and communication modules. They can be easily interfaced using RS232 port but now a days it is replaced by USB. Interfacing sensors and modules having only USB ports, some sort of port conversion is required that can emulate a serial…
Network Coded Multihop Wireless Communication Networks: Channel Estimation and Training Design
User-cooperation-based multihop wireless communication networks (MH-WCNs) as the keycommunication technological component of mobile social networks (MSNs) can be exploited to enhance data rates and extend coverage. As one of the most promising and efficient user cooperation techniques, network coding can increase the potential cooperation performance gains among selfishly driven users in MSNs. To take full advantages of network…
Energy Efficient COGnitive-MAC for Sensor Networks Under WLAN Co-existence
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…
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…
Personalization Using Sensors for Preliminary Human Detection in an IoT Environment
In Internet of Things (IoT), there are many future applications in smart environments. This paper first presents a possible scenario of a family making use of the IoT in their daily living, and then work leading to integration of unobtrusive sensors in the smart environment is discussed. In the applications discussed, Bluetooth connections linked and connected the…
ID-based communication for realizing IoT and M2M in future heterogeneous mobile networks
Internet of Things (IoT) and Machine to Machine (M2M) communication are expected to be the major paradigm of communications in the future Internet, where trillion of devices will be connected through heterogeneous mobile networks that will vary in both networking and link technologies. The IoT/M2M devices need to remain connected despite they change their points of…
Energy Efficiency Maximization Framework in Cognitive Downlink Two-Tier Networks
To support the surge in wireless data traffic, the spectrum and energy efficiencies of cellular networksshould be largely increased. Heterogeneous two-tier architecture has been identified as one key solution. However, small-cell deployment raises questions about the resulting energy efficiency and interference mitigation. Therefore, we propose an energy-efficient and cognitive spectrum sharing scheme between primary macrocell and secondary small…
Deep Sensing for Next-Generation Dynamic Spectrum Sharing: More Than Detecting the Occupancy State of Primary Spectrum
In this paper, spectrum sensing is investigated and a new detection framework, namely, deep sensing (DS), is proposed for more challenging scenarios of future dynamic spectrum sharing. In contrast to existing methods, the DS scheme is designed to proactively recover and exploit some other informative states associated with realistic cognitive links (e.g., fading gains), except detecting the…