Auto‐management of energy in IoT networks
International Journal of Communication Systems, 2020•Wiley Online Library
Wireless sensor network (WSN) based on IEEE 802.15. 4 technology continues to gain
considerable importance. The present work is based on this standard and a cluster tree
network topology. This network is divided into many subgroups, each of which is
characterized by its special IEEE parameters (beacon order [BO] and superframe order
[SO]). A mathematical model for computing energy consumption was proposed to enable
personal area network (PAN) coordinator to detect the current energy level in the battery …
considerable importance. The present work is based on this standard and a cluster tree
network topology. This network is divided into many subgroups, each of which is
characterized by its special IEEE parameters (beacon order [BO] and superframe order
[SO]). A mathematical model for computing energy consumption was proposed to enable
personal area network (PAN) coordinator to detect the current energy level in the battery …
Summary
Wireless sensor network (WSN) based on IEEE 802.15.4 technology continues to gain considerable importance. The present work is based on this standard and a cluster tree network topology. This network is divided into many subgroups, each of which is characterized by its special IEEE parameters (beacon order [BO] and superframe order [SO]). A mathematical model for computing energy consumption was proposed to enable personal area network (PAN) coordinator to detect the current energy level in the battery. The proposed adaptive intervention is based on a comparison between the remaining energy and the diverse thresholds, which lead to an auto‐management of energy consumption. The proposed approach was evaluated using Inetmanet/Omnet++ simulator.
Wiley Online Library
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