# An Optimized Framework for WSN Routing in the Context of Industry 4.0
## 2 Related Work  
A recent research survey reveals that a lot of work is being carried out on Industry 4.0 in terms of new frameworks, protocols and algorithms. MANETs in various regions produce numerous mobile nodes and those are free to communicate. In OLSR, Multi-Point Relays (MPRs) are single nodes that are preferred to buy compared to special edition nodes that can be susceptible to MPR nodes for a huge energy guideline. On the downside, MPR nodes that compete excessively help the resources by dropping numerous node packets in preference to sending them. This leads to enormous energy loss and vitiates execution in certain current energy-efficient MPR choice initiatives. For this service, MANET is instituted by an upgraded energy and stability-conscious routing model [9; 10]. [PERSON] et al. [11] invented methodology that states each IoT machine has a peculiar ability to spare its detection and sensing of information or data. It is capable of receiving information from the other devices. The algorithms proposed have the primary goal to combine existing data and to improve the proficiency of the following such as traffic bottleneck, consumption of energy, increase the IoT lifetime, and the amount of traffic injected into the network. In [12], the authors proposed an energy efficient network; however, it is not based on multiple parameters. Some authors proposed [13] secure communication for data transmission, which is suitable only for the social activities rather than industrial processes. The QoS-based approach is followed in [14]; however, smart grid applications require a main focus on control packets and reliability, which is why some optimizations are required. Unless with the help of network slicing [15; 16], this cannot be gained. As per the literature, augmented reality systems [17] are also focusing on the industry perspectives; however, an integrated mechanism is required to deal with industrial constraints.  
The authors of [18; 19] presented a lifetime data balanced mechanism on the IoT, which is run by an end-to-end delay requirement to manage the system framework dynamics and heterogeneity while trying to improve the energy level of the nodes for IoT applications. The main challenges of the smart grids are not solved by the proposed methodologies. The authors described and presented the OLSR technique's control strategy in [20; 21]. There are many smart applications of WSN and where the researchers have worked upon QoS metrics. However, the authors of [22] proposed a routing framework for smart grid application in the context of Industry 4.0. They have worked on end to end reliability. Other technologies are also paving the way for Industry 4.0 such as LoRaWAN [23]. Authors have also worked on the energy emission of motes. Cyber physical integration is proposed in [24] for smart ship manufacturing.  
The proposed methodology of this paper, i.e., the multipoint relays (MPR) technique, is used to optimize the flow created by messages used in the discovery of the neighborhood, and it is the main requirement of SGs, which is idealistic for industry 4.0. The presented approach is based on the routing approach proposed in [22]. The present article has introduced the reduction of time between the control messages and hence also reduced the delay. In SG applications, delay, optimal path for transmitting the data, and missing link identification are prime requirements, which are covered, analyzed and evaluated by the proposed methodology over OLSR, hybrid routing, AoMDV and DSDV [25] protocols.