01617nas a2200277 4500000000100000000000100001008004100002260000900043653001300052653002000065653001400085653001900099653002900118653001200147100002500159700002000184700002200204700002000226700002400246700002200270700001700292245007700309300001200386490000700398520093400405 2020 d c202010abig data10acoverage radius10adata loss10asensor network10asensor network stability10asensors1 aVolodymyr Petrivskyi1 aGeorgi Dimitrov1 aViktor Shevchenko1 aOleksiy Bychkov1 aMagdalena Garvanova1 aGalina Panayotova1 aPavel Petrov00aInformation Technology for Big Data Sensor Networks Stability Estimation a141-1540 v473 a
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.