Network reprogramming allows for over-the-air application updates in sensor networks. We describe the operation of a number of network reprogramming protocols that have emerged for the TinyOS sensor network operating system. We go on to discuss potential security issues that arise from the operation of network reprogramming protocols.

Extratropical cyclones give rise to much of the precipitation over California. Observed California winter precipitation is highly correlated to a metric of extratropical cyclone activity over the Eastern Pacific. The lack of precipitation over the recent winters is coincident with consecutive winters of much below average cyclone activity. Analysis of variability in cyclone activity and California precipitation simulated by models participating in Coupled Model Intercomparison Project Phase 5 indicates that most models can simulate the relationship between cyclone activity and precipitation well. Examination of projected change suggests (1) no evidence of a long‐term downward trend in California region cyclone activity within the examined scenarios and (2) that the intermodel spread in California precipitation projection can be largely explained by the spread in the projection of extratropical cyclone activity. This highlights the need to further understand physical mechanisms for the variation in projection of cyclone activity in this region.

No abstract

No abstract

No abstract

Existing code update protocols target efficiency and assume correct behavior from participating sensor nodes. This work aims for the progressive, resource sensitive verification of code updates in sensor networks to ensure that unauthorized updates from malicious nodes are not propagated, while correct updates continue to be efficiently disseminated.

Standardized software architectures, such as AUTomotive Open System ARchitecture (AUTOSAR), are being pursued within the automotive industry in order to reduce the cost of developing new vehicle features. Many of these features will need to be highly dependable. Fault injection plays an im portant role during the dependability analysis of such soft ware. This work evaluates the feasibility of leveraging the CANoe simulation environment to develop software-based methods for injecting faults into AUTOSAR applications. We describe a proof-of-concept fault-injection framework with example fault-injection scenarios, as well as imple mentation issues faced and addressed, lessons learned, and the suitability of using CANoe as a fault-injection environ ment.

No abstract