Abstract
We propose a self-aware self-redesign framework (SASR), which embeds an existing computing system (CS) with awareness of abnormalities to trigger a self-adaptation process through necessary redesigning to handle the operational challenges. We view a wireless sensor network (WSN) deployed in a hostile environment, often subject to gusty winds, as a computing system to be embodied with SASR framework for a seamless transmission at the frequency band of 2.4 GHz. We classify the environment severity into four levels based on the visibility as a clear sky, dust haze, dust storm and heavy dust storm, and our framework generates a hybrid-awareness within the sensor nodes by embedding the relationship between the meteorological changes surrounding the sensing area (public awareness) and the corresponding transmission losses (private awareness). Then, by partitioning the transmission band into four channels with varying transmission frequencies possessing varying transmission powers, and by selecting event and time based channel hopping, the adaptiveness of WSN towards the environment is ensured. We have utilized Contiki’s Cooja simulator, as it suits for low-power and lossy networks, and multichannel communication, to generate the data transmission with respective transmission path losses for the defined environmental conditions. We have utilized two types of WSN deployment, such as uniform and random and we have attempted the channel hopping mechanism under both uniform and random deployments to test SASR feasibility within WSN. The simulation results showed that the channel hopping is not feasible under uniform deployment for the selected environmental conditions. It is also further observed that the random deployment with multichannel hopping based on channel idle level and interference level showed better adaptiveness towards adverse environmental conditions, where the packet delivery ratio showed a drop by 5 to 8% compared to 15 to 30% in random deployment with single channel.
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Habib, S.J., Marimuthu, P.N., Renold, P., Athi, B.G. (2019). Development of Self-aware and Self-redesign Framework for Wireless Sensor Networks. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 931. Springer, Cham. https://doi.org/10.1007/978-3-030-16184-2_42
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DOI: https://doi.org/10.1007/978-3-030-16184-2_42
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