1,721,008 research outputs found
On the Interplay Between 5G, Mobile Edge Computing and Robotics in Smart Agriculture Scenarios
No full textThe relentless growth of the human population over the time is driving an exceptional rise in food demand. Improving the efficiency of farming processes is the only way to face the so called Malthusian catastrophe. This objective could be pursued by automating production processes in farms. Robots can play a key role in this context, especially when they can execute tasks on collaborative basis. At the same time, low latency communication capabilities are required to translate in reality the robotic-aided smart agriculture vision. This contribution explores the interplay of 5G, Internet of Things (IoT), and Mobile Edge Computing (MEC) as enabling drivers for technology spread in the agriculture domain, based on Industry 4.0 principles. In particular, some key performance indicators have been investigated for a rural-area scenario, exploring different technological configurations
Effects of A-D conversion nonidealities on distributed sampling in dense sensor networks
No full text
Optimal Power Control and Scheduling for Energy Harvesting Wireless Networked Control Systems
No full textA Low-SWaP, Low-Cost Transceiver for Physically Secure UAV Communication with Visible Light
No full text
Power Efficient Beam-Forming Algorithm for Ultra-Reliable Low Latency Millimeter-Wave Communications
No full text
Energy efficient routing with delay guarantee for sensor networks
No full textThe paper presents a routing algorithm that maximizes the lifetime of a sensor network in which all data packets are destined to a single collection node. Lifetime is maximized by adjusting the number of packets traversing each node. The adjustment is carried out by transmitting over alternative routes. First part of the paper assumes that the worst case delay resulting from energy efficient routing is less than the maximum tolerable value. Ignoring the delay constraint of the network, the routes are selected as the solution to a linear programming (LP) problem in which the objective is to maximize the minimum lifetime of each node. The solution is first implemented in a centralized algorithm. The LP solution is then approximated by an iterative algorithm based on least cost path routing, in which each step is implemented efficiently in a distributed manner. Second part of the paper incorporates delay guarantee into energy efficient routing by limiting the length of the routing paths from each sensor node to the collection node. Simulations reveal that the lifetime of the network increases significantly by optimal routing and there is not always a tradeoff between the delay guarantee and the battery lifetime of the sensor network. The delay of the network keeps increasing as the maximum allowed delay value increases although the optimal lifetime and the connectivity of all the nodes to the collection node is achieved so including delay constraint in energy efficient routing improves the network performance
- …
