Smart City Gnosys
Smart city article details
| Title | Enabling Lpwans For Coexistence And Diverse Iot Applications In Smart Cities Using Lightweight Heterogenous Multihomed Network Model |
|---|---|
| ID_Doc | 23014 |
| Authors | Ogbodo E.U.; Abu-Mahfouz A.M.; Kurien A.M. |
| Year | 2022 |
| Published | Journal of Sensor and Actuator Networks, 11, 4 |
| DOI | http://dx.doi.org/10.3390/jsan11040087 |
| Abstract | Smart cities have been envisioned to provide smartness in managing internet of things (IoT) application domains, such as transport and mobility, health care, natural resources, electricity and energy, homes and buildings, commerce and retail, society and workplace, industry, agriculture, and the environment. The growth trajectory in usage of these IoT domains has led to a heterogeneous dense network in a smart city environment. The heterogeneous dense network in smart cities has led to challenges, such as difficulties in the management of LPWAN coexistence, interference, spectrum insufficiency, QoS, and scalability issues. The existing LPWAN technologies cannot support the heterogeneous dense network challenges in smart cities. Further, it cannot support diverse IoT, including medium- to high-bandwidth applications, due to the power, complexity, and resource constraints of the LPWAN devices. Hence, this paper addresses high data rate IoT applications and heterogeneous dense networks. This paper proposes a lightweight heterogenous multihomed network (LHM-N) model for diverse smart city applications that will address dense heterogeneity network challenges in a smart city. The work aims to advocate and integrate a manageable license-free LPWAN that will coexist with 5G private and public cellular networks in the LHM-N model. This will help to provide a cost-effective solution model in a heterogeneous dense smart city environment. Further, a secured lightweight energy-efficient packet-size forwarding engine (PSFE) algorithm is presented using the discrete event simulation (DES) methodological approach in MATLAB for complexity evaluation. In addition, a 5G reduced capability (RedCap) IoT device is integrated into the (LHM-N) model to support smart city. Finally, the results show that the LHM-N model outperforms the conventional quadrature amplitude modulation (QAM) protocol scheme in terms of error rate, latency, and data throughput with reduced energy costs for medium- to high-bandwidth industrial IoT applications. This validates the suitability of the LHM-N model for high data rate IoT applications. © 2022 by the authors. |
| Author Keywords | 5G redcap; coexistence; energy-efficient; heterogenous; lightweight; LPWAN-MHS; multihoming; optimization |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
1794  | 0.887 | Homssi B.A.; Al-Hourani A.; Magowe K.; Delaney J.; Tom N.; Ying J.; Wolf H.; Maselli S.; Kandeepan S.; Wang K.; Gomez K.M. | A Framework For The Design And Deployment Of Large-Scale Lpwan Networks For Smart Cities Applications | IEEE Internet of Things Magazine, 4, 1 (2021) |
| 5206 | 0.88 | Ogbodo E.U.; Abu-Mahfouz A.M.; Kurien A.M. | A Survey On 5G And Lpwan-Iot For Improved Smart Cities And Remote Area Applications: From The Aspect Of Architecture And Security | Sensors, 22, 16 (2022) |
| 34788 | 0.875 | Ramoutar A.; Motamedi Z.; Abdulla M. | Latency Of Concatenating Unlicensed Lpwan With Cellular Iot: An Experimental Qoe Study | IEEE Vehicular Technology Conference, 2021-September (2021) |
| 35794 | 0.872 | Mroue M.; Ramadan A.; Nasser A.; Zaki C. | Lpwan Technologies In Smart Cities: A Comparative Analysis Of Lora, Sigfox, And Lte-M | Lecture Notes in Networks and Systems, 1057 LNNS (2024) |
| 44561 | 0.866 | Alkhayyal M.; Mostafa A. | Recent Developments In Ai And Ml For Iot: A Systematic Literature Review On Lorawan Energy Efficiency And Performance Optimization | Sensors, 24, 14 (2024) |
| 23857 | 0.865 | Kulkarni P.; Pradeep B.; Raza U.; Lakas A. | Enhancing Lorawan-Based Connectivity For Scalable Smart City Applications | International Symposium on Advanced Networks and Telecommunication Systems, ANTS (2023) |
| 56601 | 0.861 | Mousavi S.M.; Khademzadeh A.; Rahmani A.M. | The Role Of Low-Power Wide-Area Network Technologies In Internet Of Things: A Systematic And Comprehensive Review | International Journal of Communication Systems, 35, 3 (2022) |
| 35697 | 0.86 | Pham T.L.; Nguyen H.; Nguyen H.; Bui V.; Nguyen V.H.; Jang Y.M. | Low Power Wide Area Network Technologies For Smart Cities Applications | ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future (2019) |
| 34136 | 0.858 | Vitorino J.P.; Cruz N. | Iotmapper: A Metrics Aggregation System Architecture In Support Of Smart City Solutions | Sensors, 22, 19 (2022) |
| 24671 | 0.857 | Arcot P.; Dhivya G.; Inti K.; Kumar N.K.; Krishna K.M.V.; Babu K.G.; Dennis Joshua D.; Poonguzhali P. | Evaluating The Performance Of Ieee 802.15.4G For Smart City Applications | Digest of Technical Papers - IEEE International Conference on Consumer Electronics (2025) |