Self-Aware Opportunistic Transmissions for Energy Management within Wireless Sensor Networks

• Published in: 2022 International Conference on Smart Applications, Communications and Networking (SmartNets) pp. 1 - 6
• Main Authors: Habib, Sami, Marimuthu, Paulvanna N.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 29-11-2022
• Subjects: Batteries; Energy management; environmental uncertainty; Fuzzy logic; Indexes; Linguistics; opportunistic transmissions; resource allocation; Resource management; self-aware; Wireless sensor networks
• DOI: 10.1109/SmartNets55823.2022.9994006

- We have developed a fuzzy framework to impart awareness of the equipped resources and the environment conditions to a sensor node for implementing opportunistic transmissions for conserving energy within a wireless sensor network (WSN). Self-aware of resources is a major concern for an unmanned ground sensor network to manage its life cycle, as its resources get depleted more than the rated, due to external and internal interruptions. In this paper, we view the resource allocation problem as the opportunistic transmission channel allocation problem with the awareness of two input parameters, such as battery residual and visibility index (weather). The fuzzy logic is selected to model the opportunistic transmissions, as the ambiguity in weather conditions and the subsequent impact in battery power depletions are better represented using fuzzy membership functions with three linguistic variables: low, medium and high. We have defined a factor called opportunistic allocation factor using output membership function to select the type of transmission, such as no transmission, normal and boosted transmission. A test dataset is generated by combining a random generated battery residual power and the visibility index from Kuwait meteorological dataset for a period of 90 days in the year 2022. The designed mamdani fuzzy inference system (FIS) is evaluated with the test dataset and the results showed that data transmissions are selected opportunistically to avoid transmissions under weather extremities or with low battery power, thus saving a maximum of 10% of energy consumed; moreover, the allocation of boosted transmission is opted only under sufficient battery power.