CEEPS4IoT
Mariem Harmassi, Cyril Faucher, Yacine Ghamri Doudane · 2018
Data collection in Internet of Things is greatly impaired by the redundant or unwanted reportings provided by sensors deployed in urban area. The service provider/ application is typically unaware of an objects context while collecting its readings. This paper proposes CEEPS4IoT as a publish- subscribe context-aware system for data collection that takes into account the context of neighboring sensors while collect- ing data. However, rational sensors do not cooperate since sharing their readings is an energy costly operation along incurring them additional communication overhead. To cater this, we present a dynamic coalition game for sensors to collaborate and share their readings in an energy-efficient way and in return receive a reward for cooperating. We derive a stable utility for a sensor proportional to the amount of data it shares while compensating for its energy costs. Results from evaluating CEEPS4IoT in networks of up to 300 nodes suggest it as a scalable and energy efficient pub/sub system with context awareness since it conserves around 50% energy compared to existing pub/sub system.