CEEPS4IoT: Context-aware Energy Efficient Publish/Subscribe for Internet of Things

Abstract

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.