Exploring the Integration of WSN with Cloud Computing

Abstract

Wireless sensor networking is the emerging field of research which is responsible for the next-generation technology called Internet of things (IoT). Requirements of typical WSN applications are defined and consist of multi-hop routing, calculation of execution time, power and memory consumption of nodes. Wireless Sensor Networks (WSNs) have many constraints, such as low power resources, limited data storage, and limited areas of access. On the other hand, Cloud Computing (CC) has solved many of these issues by providing data storage in the cloud and streaming that data. Integration of these technologies needs further study to investigate the energy consumption issues. In this thesis, we examined integration of WSN with Cloud Computer to improve WSNs with more energy savings and with an efficient subvention scheme through the cloud services. Various WSN configurations integrated with cloud networks through remote connections showed performance improvements in terms of energy consumption and WSN network lifetime. We used the Cooja application of Contiki OS, which fulfils all requirements like multi-hop routing, memory and power consumption and is found feasible for WSN application development and testing.

Keyword: Cloud Computing, Energy Consumption, Integration, WSN.