Monitoring and control of distributed systems
ISCI '90 Proceedings of the first international conference on systems integration on Systems integration '90
Time, clocks, and the ordering of events in a distributed system
Communications of the ACM
System architecture directions for networked sensors
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Understanding and Using Context
Personal and Ubiquitous Computing
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Determination of Time and Order for Event-Based Middleware in Mobile Peer-to-Peer Environments
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
Handbook of Algorithms for Wireless Networking and Mobile Computing (Chapman & Hall/Crc Computer & Information Science)
Multiuser 3D virtual simulation environments support in the Gnutella peer-to-peer network
Journal of Parallel and Distributed Computing - Special issue: Design and performance of networks for super-, cluster-, and grid-computing: Part II
Temporal Event Ordering with Fault Tolerance for Wireless Sensor and Actuator Networks
Wireless Personal Communications: An International Journal
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Wireless actor and sensor networks (WSANs) are increasingly being deployed for accurate monitoring of physical environments subjected to critical conditions such as fire, leaking of toxic gases and explosions. The order in which events are received can determine the correct interpretation of what is occurring in the physical environment being monitored. Therefore, the ordering of events in WSANs can be a major requirement for critical security monitoring applications to avoid ambiguities, increasing monitoring accuracy. This paper presents OBC (Ordering by Confirmation), a novel protocol for event ordering in WSANs. This low latency and energy aware protocol maximizes the network lifetime by ordering events through a confirmation mechanism, independent of network topology. OBC was evaluated against existing solutions, showing that it can provide a larger network lifetime as well as save more energy and achieve lower latencies in situations where the network density, event rate and network dimension increase. The main goal of this protocol is to meet the needs of critical conditions monitoring applications, contributing to reduce death risks and patrimony losses.