Wireless sensor data processing for on-site emergency response

This thesis is concerned with the problem of processing data from Wireless Sensor Networks (WSNs) to meet the requirements of emergency responders (e.g. Fire and Rescue Services). A WSN typically consists of spatially distributed sensor nodes to cooperatively monitor the physical or environmental conditions. Sensor data about the physical or environmental conditions can then be used as part of the input to predict, detect, and monitor emergencies. Although WSNs have demonstrated their great potential in facilitating Emergency Response, sensor data cannot be interpreted directly due to its large volume, noise, and redundancy. In addition, emergency responders are not interested in raw data, they are interested in the meaning it conveys. This thesis presents research on processing and combining data from multiple types of sensors, and combining sensor data with other relevant data, for the purpose of obtaining data of greater quality and information of greater relevance to emergency responders. The current theory and practice in Emergency Response and the existing technology aids were reviewed to identify the requirements from both application and technology perspectives (Chapter 2). The detailed process of information extraction from sensor data and sensor data fusion techniques were reviewed to identify what constitutes suitable sensor data fusion techniques and challenges presented in sensor data processing (Chapter 3). A study of Incident Commanders’ requirements utilised a goal-driven task analysis method to identify gaps in current means of obtaining relevant information during response to fire emergencies and a list of opportunities for WSN technology to fill those gaps (Chapter 4). A high-level Emergency Information Management System Architecture was proposed, including the main components that are needed, the interaction between components, and system function specification at different incident stages (Chapter 5). A set of state-awareness rules was proposed, and integrated with Kalman Filter to improve the performance of filtering. The proposed data pre-processing approach achieved both improved outlier removal and quick detection of real events (Chapter 6). A data storage mechanism was proposed to support timely response to queries regardless of the increase in volume of data (Chapter 7). What can be considered as “meaning” (e.g. events) for emergency responders were identified and a generic emergency event detection model was proposed to identify patterns presenting in sensor data and associate patterns with events (Chapter 8). In conclusion, the added benefits that the technical work can provide to the current Emergency Response is discussed and specific contributions and future work are highlighted (Chapter 9)

Emergency Communications Network for Disaster Management

In recent years, from the majority of field experiences, it has been learned that communications networks are one of the major pillars for disaster management. In this regard, the exploitation of different space technology applications to support the communications services in disasters plays an important role, in the prevention and mitigation of the natural disasters effects on terrestrial communications infrastructures. However, this chapter presents the design and implementation of an emergency communications network for disaster management, based on a topology that integrates communications satellites with remote sensing satellites into an emergency communications network to be activated in disaster events, which affect public or private terrestrial communications infrastructures. Likewise, to design the network, different technical and operational specifications are considered; among which are: the emergency operational strategies implementation to maneuver remote sensing satellites on orbit for optimal images capture and processing, as well as the payload and radio frequencies characterization in communications satellites to implement communications technology tools useful for disaster management. Therefore, this emergency communications network allows putting in operation diverse communications infrastructures for data and images exchange, making available the essential information to accomplish a fast response in disasters or to facilitate the communications infrastructures recuperation in emergencies situations

The assessment of information technology maturity in emergency response organizations

[EN] In emergency response organizations, information technologies are not adequately explored. Sometimes, the mere adoption of new information technologies is not productive, as their efficient use depends on other interrelated technologies and the environment where they are installed. This work describes a model to help organizations understand their capability in respect to the adoption of these technologies. The model also helps the performing of the evaluation from different perspectives, making it suitable to collaborative evaluation. Using the proposed model, an organization can measure its maturity level in different aspects of the evaluation and guide the investment on its capabilities. Part of the model has been developed for emergency response organizations and the information technology dimension of the model has been applied to two fire department installations.Marcos R. S. Borges was partially supported by grants No. 560223/2010-2 and 480461/2009-0 from CNPq (Brazil). Work of José H. Canós is partially funded by the Spanish Ministerio. de Educación y Ciencia (MEC) under grant TIPEX (TIN2010–19859-C03-03). The cooperation between the Brazilian and the Spanish research groups was partially sponsored by the CAPES/MECD Cooperation Program, Project #169/ PHB2007-0064-PC.Santos, RS.; Borges, MRS.; Canos Cerda, JH.; Gomes, JO. (2011). The assessment of information technology maturity in emergency response organizations. Group Decision and Negotiation. 20(5):593-613. doi:10.1007/s10726-011-9232-zS593613205Bigley G, Roberts KH (2001) The incident command system: high reliability organizing for complex and volatile task environments. Acad Manag J 44(6): 1281–1299Chinowsky P, Molenaar K, Realph A (2007) Learning organizations in construction. J Manag Eng 23(1): 27–34Diniz VB, Borges MRS, Gomes JO, Canós JH (2008) Decision making support in emergency response. In: Encyclopedia of decision making, Information Science Reference (an imprint of IGI Global), New York, pp 184–191Dörner R, Grimm P, Seiler C (2001) ETOILE—an environment for team, organizational and individual learning. CG Top 13(3): 5–6Dykstra E (2003) Concept paper: toward an international system model in emergency management. In: Proceedings of toward an international system model in emergency management, Public Entity Risk InstituteFederal Emergency Management Agency (FEMA) (1998) Emergency management guide for business and industry: a step-by-step approach to emergency planning, response and recovery for companies of all sizesGu Q, Mendonça D (2005) Patterns of group information seeking in a simulated emergency response environment. In: Proceedings of the 2nd international ISCRAM conference, Brussels, BelgiumHale J (1997) A layered communication architecture for the support of crisis response. J Manag Inf Syst 14(1): 235–255King W, Teo T (1997) Integration between business planning and information systems planning: validating a stage hypothesis. Decis Sci 28(2): 279–307Lachner J, Hellwagner H (2008) Information and communication systems for mobile emergency response. Lecture notes in business information processing, vol 5. pp 213–224Lavoie D, Culbert A (1978) Stages in organization and development. Human Relat 31(5): 417–438Lindel MK, Prater C, Perry RW (2007) Emergency management. Wiley, New YorkLlavador M, Letelier P, Penadés MC, Borges MRS, Solís C (2006) Precise yet flexible specification of emergency resolution procedures. In: Proceedings of the information systems for crisis response and management (ISCRAM), pp 110–120Meissner A, Wang Z, Putz W, Grimmer J (2006) MIKoBOS: a mobile information and communication system for emergency response. In: Proceedings of the 3rd international ISCRAM conference, Newark, New JerseyNonaka I, Takeuchi H (1995) The knowledge creating company: how Japanese companies create the dynamics of innovation. Oxford University Press, OxfordOchoa S, Neyem A, Pino JA, Borges MRS (2007) Supporting group decision making and coordination in urban disasters relief efforts. J Decis Syst 16(2): 143–172Paton D, Flin R (1999) Disaster stress: an emergency management perspective. Disaster Prev Manag 8(4): 261–267Paulk MC, Weber C, Curtis B, Chrissis M (1995) The capability maturity model: guidelines for improving the software process. Addison-Wesley, ReadingQuarantelli EL (1997) Problematical aspects of the information/communication revolution for disaster planning and research: ten non-technical issues and questions. Disaster Prev Manag 6(2): 94–106Santos RS, Borges MRS, Gomes JO, Canós JH (2008) Maturity levels of information technologies in emergency response organizations. In: Proceedings of the international workshop on groupware, Omaha, Nebraska, USA. Groupware: design, implementation and use. Lecture notes in computer science, vol 5411. Springer, Berlin, pp 135–150Schoenharl T, Szabo G, Madey G, Barabasi AL (2006) WIPER: a multi-agent system for emergency response. In: Proceedings of the 3rd international ISCRAM conference, Newark, New JerseyTuroff M (2002) Past and future emergency response information systems. Commun ACM 45(4): 29–33Turoff M, Chumer M, Hiltz R, Clasher R, Alles M, Vasarhelyi M, Kogan A (2004a) Assuring homeland security: continuous monitoring, control and assurance of emergency preparedness. J Inf Technol Theor Appl (JITTA) 6(3): 1–24Turoff M, Chumer M, Vande Walle B, Yao X (2004b) The design of a dynamic emergency response management information system (DERMIS). J Inf Technol Theor Appl (JITTA) 5(4): 1–35Van der Lee MDE, Van Vugt M (2004) IMI—An information system for effective multidisciplinary incident management. In: Proceedings of the 1st international ISCRAM conference, Brussels, BelgiumYuan Y, Deltor B (2005) Intelligent mobile crisis response systems. Commun ACM 28(2): 95–98Zimmerman R, Restrepo CE (2006) Information technology (IT) and critical infrastructure interdependencies for emergency response. In: Proceedings of the 3rd international ISCRAM conference, Newark, New Jerse

Wireless sensor data processing for on-site emergency response

This thesis is concerned with the problem of processing data from Wireless Sensor Networks (WSNs) to meet the requirements of emergency responders (e.g. Fire and Rescue Services). A WSN typically consists of spatially distributed sensor nodes to cooperatively monitor the physical or environmental conditions. Sensor data about the physical or environmental conditions can then be used as part of the input to predict, detect, and monitor emergencies. Although WSNs have demonstrated their great potential in facilitating Emergency Response, sensor data cannot be interpreted directly due to its large volume, noise, and redundancy. In addition, emergency responders are not interested in raw data, they are interested in the meaning it conveys. This thesis presents research on processing and combining data from multiple types of sensors, and combining sensor data with other relevant data, for the purpose of obtaining data of greater quality and information of greater relevance to emergency responders. The current theory and practice in Emergency Response and the existing technology aids were reviewed to identify the requirements from both application and technology perspectives (Chapter 2). The detailed process of information extraction from sensor data and sensor data fusion techniques were reviewed to identify what constitutes suitable sensor data fusion techniques and challenges presented in sensor data processing (Chapter 3). A study of Incident Commanders' requirements utilised a goal-driven task analysis method to identify gaps in current means of obtaining relevant information during response to fire emergencies and a list of opportunities for WSN technology to fill those gaps (Chapter 4). A high-level Emergency Information Management System Architecture was proposed, including the main components that are needed, the interaction between components, and system function specification at different incident stages (Chapter 5). A set of state-awareness rules was proposed, and integrated with Kalman Filter to improve the performance of filtering. The proposed data pre-processing approach achieved both improved outlier removal and quick detection of real events (Chapter 6). A data storage mechanism was proposed to support timely response to queries regardless of the increase in volume of data (Chapter 7). What can be considered as “meaning” (e.g. events) for emergency responders were identified and a generic emergency event detection model was proposed to identify patterns presenting in sensor data and associate patterns with events (Chapter 8). In conclusion, the added benefits that the technical work can provide to the current Emergency Response is discussed and specific contributions and future work are highlighted (Chapter 9).EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Integrated sensor and management system for urban waste water networks and prevention of critical situations

[EN] This work describes the design and implementation of improvements to the monitoring system of an urban waste water network, resulting in more efficient management of the system. To achieve this objective, the latest communications technology has been incorporated into heterogeneous networks and sensor systems. This technology includes mobile systems, which take measurements and transmit images in real time, an intelligent platform for processing and management of variables, and the implementation of wireless sensor networks (WSNs) designed with specific protocols and tools that allow the rapid deployment of the network and allow measurements to be taken in emergency situations. The sensors in this type of installation are extremely important for the management of the system as they allow us to collect information and make decisions with sufficient time to deal effectively with critical situations such as flooding or overloading of the waste water system, or environmental problems such as dumping of possible pollutants, as well as to make the best use of the water cycle. The solution presented here automates large portions of the processes, minimizing the possibility of human error, and increasing the frequency and accuracy of the measurements taken, ensuring a robust communication system covering all the elements involved to provide ubiquity of information, and finally gives an application layer to manage the system and receive alerts. © 2011 Elsevier Ltd.This work was supported by the MCyT (Spanish Ministry of Science and Technology) under the projects PET2007-0316 and TIN2010-21378-C02-02, which are partially funded by ERDF (European Regional Development Fund).Sempere Paya, VM.; Santonja Climent, S. (2012). Integrated sensor and management system for urban waste water networks and prevention of critical situations. Computers, Environment and Urban Systems. 36(1):65-80. https://doi.org/10.1016/j.compenvurbsys.2011.07.001S658036

Developing an Efficient DMCIS with Next-Generation Wireless Networks

The impact of extreme events across the globe is extraordinary which continues to handicap the advancement of the struggling developing societies and threatens most of the industrialized countries in the globe. Various fields of Information and Communication Technology have widely been used for efficient disaster management; but only to a limited extent though, there is a tremendous potential for increasing efficiency and effectiveness in coping with disasters with the utilization of emerging wireless network technologies. Early warning, response to the particular situation and proper recovery are among the main focuses of an efficient disaster management system today. Considering these aspects, in this paper we propose a framework for developing an efficient Disaster Management Communications and Information System (DMCIS) which is basically benefited by the exploitation of the emerging wireless network technologies combined with other networking and data processing technologies.Comment: 6 page

A Secure Lightweight Approach of Node Membership Verification in Dense HDSN

In this paper, we consider a particular type of deployment scenario of a distributed sensor network (DSN), where sensors of different types and categories are densely deployed in the same target area. In this network, the sensors are associated with different groups, based on their functional types and after deployment they collaborate with one another in the same group for doing any assigned task for that particular group. We term this sort of DSN as a heterogeneous distributed sensor network (HDSN). Considering this scenario, we propose a secure membership verification mechanism using one-way accumulator (OWA) which ensures that, before collaborating for a particular task, any pair of nodes in the same deployment group can verify each other-s legitimacy of membership. Our scheme also supports addition and deletion of members (nodes) in a particular group in the HDSN. Our analysis shows that, the proposed scheme could work well in conjunction with other security mechanisms for sensor networks and is very effective to resist any adversary-s attempt to be included in a legitimate group in the network.Comment: 6 page