# Sensing and Device Neighborhood-Based Slot Assignment Approach for the Internet of Things
## 6 Conclusions and Future Work  
Simultaneous or concurrent communication is among the challenging issues associated with the IoT networks that needs to be addressed on a priority basis. It is highly likely that majority of member devices may start communication with a common receiver simultaneously and even in the detection application. This issue becomes more complex if member devices belonging to the operational IoT network are mobile. To resolve this issue, various mechanisms have been reported in the literature, such as time division multiple access (TDMA), frequency division multiple access (FDMA), and non-orthogonal multiple access (NOMA), etc. However, none of these approaches have considered the neighborhood information of a server module or cluster head (CH), which can play a vital role in resolving the concurrent communication issue. In this paper, a neighborhood-based smart slot allocation scheme was presented for an IoT network where member devices were mobile, i.e., they could move from the coverage area of one server to another. In this scheme, every CH or server module was bounded to maintain two different types of slots, i.e., dedicated and reserved. Dedicated slots were assigned to every member device on a first-come-first-serve (FCFS) basis, whereas as reserved slots were assigned to those devices that migrated from the coverage area of another CH or server module. Additionally, a member device was bounded to utilize these dedicated slots, as long as it resided within the coverage area of the underlined server module. Simulation results verified that the proposed neighborhood-based slot allocation scheme performed better than existing approaches and considerably improved various performance metrics, such as 20% in lifetime, 27.8% in slot allocation, and 30.50% slot waiting time. In future, we are planning to present an extended version of the proposed neighborhood-enabled methodology for other infrastructures. Moreover, a multi-hop communication methodology could possibly be explored as well.  
Figure 7: Evaluation of the proposed and existing methodologies in terms of end-to-end delay.  
**Author Contributions:** Conceptualization, N.S. and R.K.; Methodology, M.K., R.K.; Investigation, W.N.; Resources, N.S., A.G.; Data Curation, W.N., A.G., J.T.; Writing--Original Draft Preparation, M.K., R.K.; Writing--Review & Editing, N.S., J.T.; Supervision, N.S., W.N.; Project Administration, R.K., A.G., J.T.; Funding Acquisition, S.A.C. All authors have read and agreed to the published version of the manuscript.  
This work was supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R239), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.  
This article does not contain any studies performed by the authors with human participants or animals.  
We are grateful to the Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R239), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia, for supporting this project.  
All authors declare that they have no conflict of interest.