HHFDS: Heterogeneous hybridized fuzzy‐based Dijkstra's multitask scheduling in WSN

Abstract

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.

Heterogeneous sensing for target tracking: architecture, techniques, applications and challenges

“…• There are four ways to extend network life in a heterogeneous sensing node-scheduling method. (i) Design a better sleep strategy [145][146][147][148][149][150]. An efficient sleep strategy can ensure network coverage and connectivity while reducing network energy consumption.…”

“…(iv) Provide additional energy replenishment to the network. Due to the development of wireless charging technology, wireless rechargeable sensing systems have become a hot topic of research for scholars at present; such methods can prolong the life of a sensor system simply and effectively, with a wide range of recent literature addressing this topic [145,147,149,150]. • Future energy-saving strategies for heterogeneous sensing systems can be divided into two routes [154].…”

A parallel time‐varying earliest arrival path algorithm for evacuation planning of underground mine water inrush accidents

“…Since then, numerous schemes have been proposed in different aspects. Schemes for optimizing the maximum capability of the network, heuristic search, transportation efficiency, and implementation of schemes in the evacuation problem have been introduced in this regard. It should be indicated that the integer programming or linear programming method is one of the most adopted schemes in this area, which is widely applied in small‐scale problems.…”