Wsn integrated cloud computing for n-care system (ncs) using middleware services

AbstractThe number of wireless devices with powerful sensing capabilities is constantly growing. A mobile phone is an example of a device that is packed with several powerful sensors. Cloud computing is another area that been in focus over the last decade. Cloud computing can be defined as an architectural abstraction that provides scalability and reliability based on requirement. The challenge lies in the fact that sensors for different purposes are heterogeneous in nature. We propose a framework called the N-Care System that utilizes heterogeneous wireless networks to collect data, cloud services to provide additional computational capabilities and provides information for different types of end users. A wireless sensor network consisting of sensors that possess both sensing and transmitting capabilities forms a communication back-bone that can capture a wide variety of data. Multiple sensors are grouped in to a cluster that consists of an internet capable computing device called cluster head that collects data from the constituent sensor nodes and pushes it in to a cloud based database. End users can log in and access data from sensors that fall under the user’s domain

Middleware service oriented rescue and crime information on cloud (RCIC) using heterogeneous nodes in WSNs

Human civilisation continues to be plagued by problems of crime and is often left defenceless and ill-equipped each time a natural disaster occurs. A Wireless Sensor Network (WSN) can be used to keep track of the ground situation in a crime scene or when a natural calamity occurs. Cloud computing can be utilised to enhance the capabilities of the sensors. We propose a system called Rescue and Crime Information on Cloud (RCIC). It consists of sensor nodes that together form a cloud based MANET. Such a network of sensors will depend on the cloud for additional computational power, storage and management of data. The data obtained by the sensors are sent to the cloud, where it is processed, analysed and normalised by the Middleware. These values are then passed on to a special system known as the Rescue and Crime Information System (RCIS). The RCIS will display the severity rate along with other required information about each event. The proposed RCIC will help in detecting occurrences of natural and man-made disasters along with criminal activities. The RCIC will help concerned authorities to keep tabs on such events and respond in times of an emergency. © 2012 IEEE

Middleware service oriented Rescue and Crime Information System (RCIS) using heterogeneous fixed nodes in WSNs

A Mobile Adhoc Network (MANET) is a self-configuring infrastructureless network of mobile devices connected by wireless links with routing capabilities. A MANET needs a special mechanism to bear with its ad hoc behaviour. In this paper, a set of heterogeneous nodes in WSN (Wireless Sensor Network), that have different functionality with specific purpose have been considered. These nodes are distributed across the environment and they send the outcome of events that occur in nature. In this network each node has to send a request/response to a Base Node (BN) where all requests/responses are evaluated and the required values are computed for the end user. This activity requires middleware service oriented architecture, Image Processing and Video Processing. Hence this network is fully dependent on the services of middleware in WSNs. The noticeable outcome values or flags are passed on to a special system called Rescue and Crime Information System (RCIS) where all filtered and computed values or flags are displayed in this system with severity of events and required information. The proposed architecture provides universal solutions for most of the natural disasters and criminal activities that occur frequently. Hence this information provided by the RCIS is very essential and effective in handling disasters and crimes. © 2012 Springer-Verlag