Embedded agents to monitor sounds

Ambient intelligent has advanced in the last years. The inclusion of Artificial Intelligent techniques, as pattern recognition, has allowed these systems to have a better adaptation to the environments. In this work, a multiagent system based on PANGEA and embedded agents to manage and monitor alarms is shown. The system incorporates embedded agents in Arduino hardware devices with modules to detect sounds and luminosity bands

Agentes embebidos para la gestión de sonidos

La inteligencia ambiental ha presentado avances a lo largo de los últimos años. La incorporación de técnicas de inteligencia artificial ha posibilitado aspectos como el reconocimiento de patrones permitiendo así una mejor adaptación de estos sistemas. En este trabajo se presenta la arquitectura multiagente PANGEA que incorpora diferentes agentes y sensores encargados de dar soporte a usuarios en el hogar caso de determinadas alarmas o incidencias. El sistema incorpora agentes en dispositivos hardware arduino con módulos de reconocimiento y bandas luminosas

Using heterogeneous wireless sensor networks in a telemonitoring system for healthcare

Abstract—Ambient intelligence has acquired great importance in recent years and requires the development of new innovative solutions. This paper presents a distributed telemonitoring system, aimed at improving healthcare and assistance to dependent people at their homes. The system implements a service-oriented architecture based platform, which allows heterogeneous wireless sensor networks to communicate in a distributed way independent of time and location restrictions. This approach provides the system with a higher ability to recover from errors and a better flexibility to change their behavior at execution time. Preliminary results are presented in this paper. Index Terms—Ambient intelligence (AmI), healthcare, servicesoriented architectures (SOAs), wireless sensors networks (WSNs)

Performance study of routing protocols in a mobile patient monitoring network

Patient monitoring and connected medical devices are dramatically changing for providing more care and health services. A WBAN is based on IEEE 802.15.6, allowing near field communication up to one-meter range from the human body. In patient monitoring, the physiological data is sensed by sensor and forward to the medical professional, where the received data is continuously compared with the original data base of a patient. In order to give more care to patients, it is necessary to monitor the patient when they are in motion. This gives a promising way to assist the medical professionals for improving their monitoring abilities. Mobile patient monitoring system detects the patient’s situation when he/she is in motion and allows a patient to roam around the hospital without health professional. For proper communication between the mobile nodes of the patient monitoring system, the IEEE standard WLAN and WPAN are to be implemented. When the patient is moving in the arbitrary trajectory an unpredictable topology and link instability is formed, that make routing protocols a core issue. Different routing protocols such as AODV, DSR, DSDV, and AOMDV have been analysed in NS2 for different types of patient monitoring scenario. Most WLAN are based on IEEE 802.11 and provide wireless connection between the nodes for the communication. This gives users the ability to move around within a local coverage area up to hundred meter range and still be connected to the network. WPAN system is designed under IEEE 802.15.4 standard and provides interconnection of communicating devices. Also it can serve for more specialized purpose such as allowing the surgeon and other team members to communicate during an operation inside the operation theatre. The simulation results shows that IEEE 802.11 is best suited for designed mobile patient monitoring network as it provides more coverage area to the patient

Trust Management for P2P application in Delay Tolerant Mobile Ad-hoc Networks. An Investigation into the development of a Trust Management Framework for Peer to Peer File Sharing Applications in Delay Tolerant Disconnected Mobile Ad-hoc Networks.

Security is essential to communication between entities in the internet. Delay tolerant and disconnected Mobile Ad Hoc Networks (MANET) are a class of networks characterized by high end-to-end path latency and frequent end-to-end disconnections and are often termed as challenged networks. In these networks nodes are sparsely populated and without the existence of a central server, acquiring global information is difficult and impractical if not impossible and therefore traditional security schemes proposed for MANETs cannot be applied. This thesis reports trust management schemes for peer to peer (P2P) application in delay tolerant disconnected MANETs. Properties of a profile based file sharing application are analyzed and a framework for structured P2P overlay over delay tolerant disconnected MANETs is proposed. The framework is implemented and tested on J2ME based smart phones using Bluetooth communication protocol. A light weight Content Driven Data Propagation Protocol (CDDPP) for content based data delivery in MANETs is presented. The CDDPP implements a user profile based content driven P2P file sharing application in disconnected MANETs. The CDDPP protocol is further enhanced by proposing an adaptive opportunistic multihop content based routing protocol (ORP). ORP protocol considers the store-carry-forward paradigm for multi-hop packet delivery in delay tolerant MANETs and allows multi-casting to selected number of nodes. Performance of ORP is compared with a similar autonomous gossiping (A/G) protocol using simulations. This work also presents a framework for trust management based on dynamicity aware graph re-labelling system (DA-GRS) for trust management in mobile P2P applications. The DA-GRS uses a distributed algorithm to identify trustworthy nodes and generate trustable groups while isolating misleading or untrustworthy nodes. Several simulations in various environment settings show the effectiveness of the proposed framework in creating trust based communities. This work also extends the FIRE distributed trust model for MANET applications by incorporating witness based interactions for acquiring trust ratings. A witness graph building mechanism in FIRE+ is provided with several trust building policies to identify malicious nodes and detect collusive behaviour in nodes. This technique not only allows trust computation based on witness trust ratings but also provides protection against a collusion attack. Finally, M-trust, a light weight trust management scheme based on FIRE+ trust model is presented