Range-based localization of a wireless sensor network for internet of things using received signal strength indicator and the most valuable player algorithm
MA Alanezi, HREH Bouchekara, MS Javaid - Technologies, 2021 - mdpi.com
MA Alanezi, HREH Bouchekara, MS Javaid
Technologies, 2021•mdpi.comThe localization of the nodes in wireless sensor networks is essential in establishing
effective communication among different devices connected, within the Internet of Things.
This paper proposes a novel method to accurately determine the position and distance of
the wireless sensors linked in a local network. The method utilizes the signal strength
received at the target node to identify its location in the localized grid system. The Most
Valuable Player Algorithm is used to solve the localization problem. Initially, the algorithm is …
effective communication among different devices connected, within the Internet of Things.
This paper proposes a novel method to accurately determine the position and distance of
the wireless sensors linked in a local network. The method utilizes the signal strength
received at the target node to identify its location in the localized grid system. The Most
Valuable Player Algorithm is used to solve the localization problem. Initially, the algorithm is …
The localization of the nodes in wireless sensor networks is essential in establishing effective communication among different devices connected, within the Internet of Things. This paper proposes a novel method to accurately determine the position and distance of the wireless sensors linked in a local network. The method utilizes the signal strength received at the target node to identify its location in the localized grid system. The Most Valuable Player Algorithm is used to solve the localization problem. Initially, the algorithm is implemented on four test cases with a varying number of sensor nodes to display its robustness under different network occupancies. Afterward, the study is extended to incorporate actual readings from both indoor and outdoor environments. The results display higher accuracy in the localization of unknown sensor nodes than previously reported.
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