TY - GEN
T1 - An Application Conflict Detection and Resolution System for Smart Homes
AU - Yagita, Miki
AU - Ishikawa, Fuyuki
AU - Honiden, Shinichi
PY - 2015/7/30
Y1 - 2015/7/30
N2 - One of the applications of Cyber-Physical Systems (CPSs) is the Smart Homes. In Smart Homes, multiple apps operate the sensors and actuators to provide rich user experience in a living environment. Because actuators are entities that affect the surrounding environment, conflicts may occur if two or more apps are running simultaneously, especially when they try to use a single actuator or when they use different actuators causing different effects. There have been attempts to resolve these conflicts at app installation time. However the state-of-the-art solutions can detect conflicts only if the apps actuate on devices with conditions based on time, and resolute conflicts by creating a total order between all apps, regardless of the situations of the conflicts. In this paper, we create a Kripke structure to detect conflicts by model-checking the assertion 'no two appsuse actuators to create different effects at the same location'. Our proposed system, which provides install-time conflict detection, enables detection of application conflicts triggered by conditions based on events. In addition, it supports users in prioritising apps by reducing the number of conflicts by dividing them into groups of the same situation which are meaningful to the users. By prioritising apps for each situation, rather than creating a total order, our system allows the apps to run in a more flexible way.
AB - One of the applications of Cyber-Physical Systems (CPSs) is the Smart Homes. In Smart Homes, multiple apps operate the sensors and actuators to provide rich user experience in a living environment. Because actuators are entities that affect the surrounding environment, conflicts may occur if two or more apps are running simultaneously, especially when they try to use a single actuator or when they use different actuators causing different effects. There have been attempts to resolve these conflicts at app installation time. However the state-of-the-art solutions can detect conflicts only if the apps actuate on devices with conditions based on time, and resolute conflicts by creating a total order between all apps, regardless of the situations of the conflicts. In this paper, we create a Kripke structure to detect conflicts by model-checking the assertion 'no two appsuse actuators to create different effects at the same location'. Our proposed system, which provides install-time conflict detection, enables detection of application conflicts triggered by conditions based on events. In addition, it supports users in prioritising apps by reducing the number of conflicts by dividing them into groups of the same situation which are meaningful to the users. By prioritising apps for each situation, rather than creating a total order, our system allows the apps to run in a more flexible way.
KW - conflict resolution
KW - model checking
KW - Requirements at runtime
KW - Smart Home
UR - http://www.scopus.com/inward/record.url?scp=84946229136&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946229136&partnerID=8YFLogxK
U2 - 10.1109/SEsCPS.2015.14
DO - 10.1109/SEsCPS.2015.14
M3 - Conference contribution
AN - SCOPUS:84946229136
SP - 33
EP - 39
BT - Proceedings - International Workshop on Software Engineering for Smart Cyber-Physical Systems, SEsCPS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -