2003 · 62 citations · 0 references
EngineeringElectrical EngineeringFault-tolerant ComputingInformation TheoryWireless CommunicationsDistributed Sensor NetworksNetwork ReliabilityReliability AssuranceSensor NetworksWireless Sensor NetworksBroadcastBroadcast ChannelsEnergy-efficient ProtocolsEnergy-efficient Wireless Sensor NetworksInformation Delivery ArchitectureReliability Analysis Of Wireless Sensor NetworksWireless Broadcast Channels
Sensor networks monitor surroundings and deliver events to users, and information assurance enables dissemination at varying assurance levels based on event criticality. This study seeks efficient information assurance in sensor networks by defining assurance level as the probability of information delivery to the sink. We propose a hop‑by‑hop broadcast scheme that delivers information at a desired reliability. The scheme increases packet delivery rate at each hop, achieves any target end‑to‑end reliability at minimal cost, and yields an optimal allocation of hop reliabilities.
Sensor networks are deployed to monitor the surroundings and keep the end-user informed about the events witnessed. Different types of events have different levels of importance for the user. Information Assurance is an ability to disseminate different information at different assurance levels to the end-user. The assurance level is determined by the criticality of the sensed phenomenon. Thus, information assurance capability allows a sensor network to deliver critical information with high assurance albeit potentially at a higher cost, while saving energy by delivering less important information at a lower assurance level.In this paper, we look at the problem of efficient information assurance in sensor networks when the assurance level of information is defined as the probability of information delivery (desired reliability) to the sink. We propose a new scheme for information delivery at a desired reliability using hop-by-hop broadcast. We show how the wireless broadcast can be utilized to increase the packet delivery rate at each hop and attain a desired reliability at minimal cost. Finally, we derive the optimal strategy for allocation of desired reliabilities at each hop in order to attain any given desired end-to-end reliability.