BOHR International Journal of Smart Computing and Information Technology

Sensor nodes in smart dust are used to track and identify data that is being transferred to a sink. The accessibility
of node energy poses a significant challenge for smart dust and may have an impact on the long-term viability of
the network. As a result, constructing smart dust must take into account the need for algorithms and techniques
that enable the most use of scarce resources, especially energy resources. For instance, routing algorithms are
distinctive algorithms because they have a clear and direct connection with network longevity and energy. The
offered routing techniques use clustering each round and single-hop data delivery to the sink. A Fuzzy Clustering
and Energy Resourceful Routing Protocol (FCER2P) that reduces smart dust energy consumption and lengthens
lifespan of the network is proposed in this research. Using a specified threshold, FCER2P proposes a new
cluster-based fuzzy routing mechanism that can make use of clustering and multiple hop routing capabilities
simultaneously. This research is innovative in that it adjusts multi-hop connectivity by anticipating the optimum
intermediate node for aggregating and the sink, eliminates clustering each round while taking a fixed threshold
into account, and eliminates clustering per round altogether. When choosing the intermediary node to employ,
some fuzzy parameters, including residual energy, the number of neighbors, and the distance to the sink, are taken
into account.