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E-health is one of the domains which will need more and more IoT solutions in the future, as it requires short delays for life-dependency situations and safe local storage spaces for privacy matters. The emergency context demands efficient communication and computing capacities, and the cloud vision as well as traditional TCP/IP way of communication cannot really suit these requirements. New approaches...
The scalable and massively parallel computing systems composed of many processors, which are connected on chips that will become more and more complex and unreliable. This paper presents a bio-inspired error tolerance framework and three design principles based on the Autonomous Error Tolerant (AET) architecture. A nearby error perception mechanism is carefully designed to detect faults and an initiative...
Future intelligent transportation systems and applications are expected to greatly benefit from the integration with a cloud computing infrastructure for service reliability and efficiency. More recently, fog computing has been proposed as a new computing paradigm to support low-latency and location-aware services by moving the execution of application logic on devices at the edge of the network in...
The role of energy in wireless sensor networks (WSN) becomes very important when network is unattended and it is not possible to recharge sensor node's battery in the sensing region many times. Due to this limited battery energy of sensor nodes it becomes a challenge for WSN to maintain proper functioning for a long time. So for the enhancement in network lifetime of the WSN, here we propose a modified...
Advances in the Internet of Things (IoT) infrastructures are enabling the gathering, processing and inference of a wide array of data, enabling more agile decision management frameworks in several contexts, including vehicle routing and navigation. Coupled with crowd-sensing, these decision management frameworks gain further advantage in terms of data availability. This work concerns itself with safety...
The wireless sensor networks (WSNs) are one of the popular information and communication technologies (ICTs) in different application areas. One of the important issue and technology in WSNs is to collect sensing data efficiently and deliver them to base station (BS) reliably. In most previous researches and proposed methodologies are using Geographic routing techniques. Based on them, the sensors...
Vision Processors are integrated circuits with the aim to put together sensors and processing elements at the same chip. There are several constraints a designer may take into account when developing a vision processor: available technology, power consumption, thermal management, fault tolerance, speed, silicon area and application-specific needs. Most of these vision processors are based on analog...
Wireless Sensor network has emerged as a promising technique that revolutionizes the way of sensing information. Dense deployed sensor nodes at a specific region are likely to transfer redundant data to the base station. This increase the communicational overhead and affects network lifetime. Since energy conservation is the key issue in WSNs, data aggregation should be incorporated in order to save...
Life time and Energy Efficiency are important factors in the design of wireless sensor network. A critical issue during data collection is the formation of energy holes near the sink. Sensors near the sink have to participate in relaying data on behalf of other sensors and thus their energy will be depleted very quickly. The mobile sink movement yields the significant performance gained through decreasing...
Distributed network of sensors form a deployable key to information with self organizing capabilities from smart environments (building, home, utilities, industrial, transportation etc). In this paper we present the vision of wireless sensor network (WSN) which enables the interconnectivity that extends the reach of cyberspace out into the physical world with the low cost, high sensing fidelity, flexibility,...
Wireless sensor networks are a new type of networked systems, characterized by severely constrained computational and energy resources, and an ad hoc operational environment. Wireless sensor networks(WSNs) have been increasingly available for large-scale applications in which energy efficiency &, security is an important performance measure. Driven by the energy &, security limitation...
The warfighter network of the future needs to be low-cost, instantly deployable, self-organizing, robust, and scale with both size and density. DARPA's Wireless Network after Next (WNaN) meets these challenges using an architecture that combines several innovative features for the first time in a real functional system: dynamic spectrum access (DSA), adaptive multi-transceiver frequency assignment,...
A wireless sensor network can be divided into several clusters. Each cluster has a number of sensors nodes and one of the nodes is elected as the coordinator, termed as head. The head is responsible for not the general mission but also collecting the sensed data of other nodes and routing to the sink. Accordingly, the energy-consumption is higher than other nodes. Therefore, the head selection will...
Cognitive radio networks are expected to address and resolve important operational challenges such as opportunistic spectrum access, spectrum and network heterogeneities and requests for the provision of diverse Quality-of-Service (QoS) for different applications. Accordingly, a number of network functionalities are required to take into account these challenges towards the efficient management of...
Dependable communication capabilities, effective opportunistic resource allocation and information Dissemination strategy are amongst the most important technical requirements for the tactical Information Dissemination Management system (IDM-T). This paper introduces a mobile agent-based architecture that supports both point-to-point messaging and hierarchical data-streaming. The opportunistic resource...
Cognitive radio is an effective way to solve the problem of spectrum scarcity, current interest in CRN (cognitive radio networks) has grown considerable because they can make full use of spectrum resources and provide extra communication capacity in the case that spectrum is relatively scarce. However there is still not a special simulation platform for CRN which is of great help to the research of...
Wireless Sensor Networks (WSNs), are a challenging and evolving area where applications can demand services, distribution, modularity and intelligence. WSNs are a versatile field with varying software architectures, which has led to the development of a plethora of WSN middlewares, management and reconfiguration protocols. To realize the potential of evolving WSN technologies and software architectures...
In wireless sensor network nodes all tasks are controlled and scheduled by the CPU of the node. It is activated repeatedly from its low-power sleep mode for e.g., measurements and communications tasks. The periodic wake-ups cause a high overhead in power consumption. This problem can be solved by supplementing the CPU with additional modules which autonomously execute selected tasks to enable the...
Recent advances in technology realize small devices which have been enabled wireless communication among sensors. Wireless sensor network is used for monitoring such as environment, earthquake and disaster. In sensor network, real-time end-to-end data communication is very important. If we use traditional First Come First Serve(FCFS) scheduler, which needs a lot of time to send if a packet generated...
Modern battlefields represent complex network scenarios that include different networking domains, which need to communicate. These domains include different military entities,such as various allies armies, forces of the same army, mobile objects, for example tanks, vehicles, soldiers, flying vehicles, etc., that need to communicate quickly and will minimum of overhead, in order to accomplish their...
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