TY - JOUR KW - big data KW - coverage radius KW - data loss KW - sensor network KW - sensor network stability KW - sensors AU - Volodymyr Petrivskyi AU - Georgi Dimitrov AU - Viktor Shevchenko AU - Oleksiy Bychkov AU - Magdalena Garvanova AU - Galina Panayotova AU - Pavel Petrov AB -

Sensors and sensor networks are widely used in various industries and human activities and main components of the Internet of Things and Industrial Internet of Things concepts. Nowadays, huge amounts of data, called Big Data, can be transported and collected using sensor networks. This article presents approaches for providing sensor networks’ stability estimation for transporting Big Data and collecting respective use cases. The proposed estimation method allows to detect sensor network’s components that decrease data transport system stability. Consequently, additional connections or sensors can be added to increase stability. In the case of data collection, the solution consists of finding the most vulnerable sensor and an optimal position for the additional sensor with given intersection levels with other sensors. Simulation results confirm the feasibility and effectiveness of the proposed approaches.

BT - Information & Security: An International Journal DA - 2020 DO - https://doi.org/10.11610/isij.4710 IS - 1 LA - eng N2 -

Sensors and sensor networks are widely used in various industries and human activities and main components of the Internet of Things and Industrial Internet of Things concepts. Nowadays, huge amounts of data, called Big Data, can be transported and collected using sensor networks. This article presents approaches for providing sensor networks’ stability estimation for transporting Big Data and collecting respective use cases. The proposed estimation method allows to detect sensor network’s components that decrease data transport system stability. Consequently, additional connections or sensors can be added to increase stability. In the case of data collection, the solution consists of finding the most vulnerable sensor and an optimal position for the additional sensor with given intersection levels with other sensors. Simulation results confirm the feasibility and effectiveness of the proposed approaches.

PY - 2020 SE - 141 SP - 141 EP - 154 T2 - Information & Security: An International Journal TI - Information Technology for Big Data Sensor Networks Stability Estimation VL - 47 ER -