Synchronous networks for bio-environmental surveillance based on cellular automata
Journal Title: EAI Endorsed Transactions on Context-aware Systems and Applications - Year 2016, Vol 3, Issue 8
Abstract
The paper proposes a new approach to model a bio-environmental surveillance network as synchronous network systems, systems consist of components running simultaneously. In the network, bio-environmental factors compose a physical system of which executions proceed concurrently in synchronous rounds. This system is synchronized with a synchronous wireless sensor network, the observation network. Topology of the surveillance network is based on cellular automata to depict its concurrent characteristic. Several aspects of the above model is simulated by using the case study Brown Planthoppers surveillance network in the Mekong Delta.
Authors and Affiliations
Bao Hoai Lam, Hiep Xuan Huynh, Bernard Pottier
Modeling Users’ Behavior from Large Scale Smartphone Data Collection
A large volume of research in ubiquitous systems has been devoted to using data, that has been sensed from users’ smartphones, to infer their current high level context and activities. However, mining users’ diverse long...
A federation of simulations based on cellular automata in cyber-physical systems
In cyber-physical system (CPS), cooperation between a variety of computational and physical elements usually poses difficulties to current modelling and simulation tools. Although much research has proposed to address th...
Infrastructure-less Occupancy Detection and Semantic Localization in Smart Environments
Accurate estimation of localized occupancy related informa- tion in real time enables a broad range of intelligent smart environment applications. A large number of studies using heterogeneous sensor arrays reflect the m...
Representing and Reasoning with the Internet of Things: a Modular Rule-Based Model for Ensembles of Context-Aware Smart Things
Context-aware smart things are capable of computational behaviour based on sensing the physical world, inferring context from the sensed data, and acting on the sensed context. A collection of such things can form what w...
Hedge Algebra Approach for Fuzzy Time series To Improve Result Of Time Series Forecasting.
During the recent years, many different methods of using fuzzy time series for forecasting have been published. However, computation in the linguistic environment one term has two parallel semantics, one represented by f...