Summary Wireless Sensor Network (WSN) has to diffuse the independent wireless sensor nodes, which can track the physical or environmental status. In previous works, many issues prevailed with multitask scheduling such as interference, high energy consumption, throughput, etc. Moreover, some issues arise while working with heterogeneous WSN. This work deals with these issues in heterogeneous WSN with aid of the multitask scheduling. For this purpose, a Heterogeneous Hybridized Fuzzy‐based (depends on degree of truth) Dijkstra's organizing algorithm (HHFDS) was proposed. This technique integrates light weight characteristics as well as a queuing‐based analysis methods, hence identifying the greatest parallel arrangements for which the provided data packet effectively. In this technique, fuzzy Dijkstra's algorithm is hybridized with deep neural network. This also depicts in what way to utilize the identifications outcome with varying data packets and thereby helps with various heterogeneous organizing objectives. The proposed HHFDS algorithm is implemented via the use of the network simulator (NS2). The results of the proposed and existing methods are measured in terms of the metrics like Energy Consumption, Time Consumption, Transmission Delay, and Average Throughput. The simulation results are depicted as follows and the comparison result shown as follows demonstrates the effectiveness of the proposed algorithm.