# Deep Validation of Spatial Temporal Features of Synthetic Mobility Models
## 4 The Proposed Metric: The Mobile Neighbors Range
Toward this direction, we will aim to combine the nodes' mobility characteristics to their information exchange interest in order to improve the resource savings within the overall network. In addition to application scenarios of each mobility model (e.g., ultra-dense networks, heterogeneous networks, and public safety networks), we will engage in, among other things, a complexity analysis for the implementation of each mobility model as well as a discussion of its real-time applicability and the implementation cost of each mobility model with respect to the real-world applications. [PERSON] developed the proposed idea, implemented it, and obtained the results. [PERSON] and [PERSON] discussed the methodology, supervised the framework development, and reviewed the paper. [PERSON] and [PERSON] validated the results. This research received no external funding. The authors declare no conflict of interest. The following abbreviations are used in this manuscript: \begin{tabular}{l l} DTN & Delay Tolerant Networking \\ IoT & Internet of things \\ M2M & Machine-to-Machine \\ MGMM & Manhattan Grid Mobility Model \\ MMs & Mobility models \\ MNs & Mobile nodes \\ NCMM & Nomadic Community Mobility Model \\ PDR & Packet Delivery Ratio \\ PSN & Pocket Switched Networks \\ QoS & Quality of Service \\ RPGMM & Reference Point Group Mobility Model \\ RWPMM & Random Waypoint Mobility Model \\ SLAW & Self-Similar Least Action Walk \\ WSN & Wireless Sensor Network \\ \end{tabular} 

## References

* [PERSON] and [PERSON] (2001) [PERSON]; [PERSON] A mobility-based clustering approach to support mobility management and multicast routing in mobile ad-hoc wireless networks. _Int. J. Netw. Manag._**2001**, _11_, 387-395. [CrossRef]
* [PERSON] et al. (2001) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A mobility framework for ad hoc wireless networks. In Proceedings of the International Conference on Mobile Data Management, Hong Kong, China, 8-10 January 2001; Springer. Berlin/Heidelberg, Germany, 2001; pp. 185-196. * [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON] Experimental Synthesis of Routing Protocols and Synthetic Mobility Modeling for MANET. In Proceedings of the 6 th International Conference on Sensor Networks (SENSORNETS 2017), Porto, Portugal, 19-21 February 2017; pp. 168-173. * [PERSON] et al. (2016) [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] Behavioral study of Random Waypoint Mobility Model based energy aware MANET. In Proceedings of the 2016 3 rd IEEE International Conference on Signal Processing and Integrated Networks (SPIN), Noida, Indian, 11-12 February 2016; pp. 624-629. * [PERSON] et al. (2014) [PERSON]; [PERSON]; [PERSON] The random waypoint mobility model with uniform node spatial distribution. _Wirel. Netw._**2014**, _20_, 1053-1066. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Parameter Characteristics of Gauss-Markov Mobility Model in Mobile Wireless Sensor Networks. _Ad Hoc Sens. Wirel. Netw._**2016**, _34_, 257-272. * [PERSON] and [PERSON] (2014) [PERSON]; [PERSON] Interference and outage in mobile random networks: Expectation, distribution, and correlation. _IEEE Trans. Mob. Comput._**2014**, _13_, 337-349. [CrossRef]
* [PERSON] and [PERSON] (2014) [PERSON]; [PERSON]; [PERSON] Outage probability in arbitrarily-shaped finite wireless networks. _IEEE Trans. Commun._**2014**, _62_, 699-712. [CrossRef]* [PERSON] and [PERSON] (2017) [PERSON]; [PERSON] Adaptive Location-Aware Routing with Directional Antennas in mobile adhoc networks. In Proceedings of the 2017 IEEE International Conference on Computing, Networking and Communications (ICNC), Silicon Valley, CA, USA, 26-29 January 2017; pp. 1006-1011. * [PERSON] et al. (2014) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Millimeter-wave enhanced local area systems: A high-data-rate approach for future wireless networks. _IEEE J. Sel. Areas Commun._**2014**, _32_, 1152-1163.