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
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
A new in-network data reduction mechanism to gather data for mining wireless sensor networks
Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems
Vehicular Ad Hoc Networks: A New Challenge for Localization-Based Systems
Computer Communications
Temporal Event Ordering with Fault Tolerance for Wireless Sensor and Actuator Networks
Wireless Personal Communications: An International Journal
Hi-index | 0.00 |
Wireless Actor and Sensor Networks (WSANs) are increasingly being deployed for fine-grain monitoring of physical environments subjected to critical conditions such as fire, leaking of toxic gases and explosions. A great challenge to these networks is to provide a fast and reliable channel for events diffusion. However, the order in which events are received can interfere directly with the correct interpretation of what is going on in the physical environment being monitored. Therefore, the ordering of events in WSANs can be a major requirement for critical security monitoring applications because by handling event ordering, ambiguities can be dealt with, increasing the accuracy of what is being monitored. This paper presents OBC (Ordering by Confirmation), a novel protocol for event ordering in WSANs. This low latency and energy aware protocol was evaluated against existing solutions, showing that it can 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.