Narrowband-IoT as an Effective Developmental Strategy for Internet of Things in Sub-Saharan Africa: Nigerian Case Study

Ologun, Oluwaseun; Wu, Shaochuan; Gao, Yulong; Zhou, Xiaokang

doi:10.1007/978-3-030-19156-6_6

Cited by 2 publications

(3 citation statements)

References 4 publications

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“…Depending on the deployment mode to be adopted by MNOs to support NB-IoT and LTE-M technologies, the possible impact on their networks would be the upgrade of baseband units, antenna systems, and eNB software and their introduction of new RF modules. The main technical challenge of NB-IoT penetration in developing countries such as Nigeria, as presented by Oluwaseun et al, is the sole reliance on broadband connectivity which stood at 50% in 2019 [26]. However, we envisaged that power supply, MNO business scenarios, security, policy standardisation, privacy, interoperability, and the cost of acquiring IoT devices are potential challenges that could be turned into opportunities.…”

Section: Leveraging Cellular Network For Iot Deployments In Nigeriamentioning

confidence: 97%

“…There are potential business-to-consumer (B2C) and business-to-business (B2B) opportunities of using LPWAN IoT technologies in developing countries, as shown in Figure 1. For example, the digital transformation of the farming sector in developing countries will ensure food security for the increasing population, and may increase the gross domes-tic product (GDP) and return on investment (ROI) [26,27] as well as support aspects of investment decision making through intelligent computing and big data analytics [28]. Other opportunities include improved security monitoring, increased productivity, quality control, transportation and supply chain optimisation.…”

Section: Iot Deployment Opportunities In Developing Countriesmentioning

confidence: 99%

“…A comprehensive review of frequency bands, price, and other features of IoT devices that can be utilised for NB-IoT deployment were contained in our previous work [8]. In the southern part of Nigeria, where untapped natural gas and crude oil deposits stand at a record high, water and air pollution resulting from oil and gas exploration activities in and around these localities has been endemic as a result of illegal exploration activities such as pipeline vandalism and oil theft [26]. Crude oil spills and other chemical wastes have induced major water pollution threatening the health of those who live and work in these regions.…”

Section: Nb-iotmentioning

confidence: 99%

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Survey of IoT for Developing Countries: Performance Analysis of LoRaWAN and Cellular NB-IoT Networks

2021

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Recently, Internet of Things (IoT) deployments have shown their potential for aiding the realisation of the Sustainable Development Goals (SDGs). Concerns regarding how the IoT can specifically drive SDGs 6, 11 and 9 in developing countries have been raised with respect to the challenges of deploying licensed and unlicensed low-power wide area network (LPWAN) IoT technologies and their opportunities for IoT consumers and service providers. With IoT infrastructure and protocols being ubiquitous and each being proposed for different SDGs, we review and compare the various performance characteristics of LoRaWAN and NB-IoT networks. From the performance analysis of our networks, NB-IoT, one of the standardised promising cellular IoT solutions for developing countries, is more expensive and less energy-efficient than LoRaWAN. Utilising the same user equipment (UE), NB-IoT consumed an excess of 2 mAh of power for joining the network and 1.7 mAh more for a 44-byte uplink message compared to LoRaWAN. However, NB-IoT has the advantage of reliably and securely delivering higher network connection capacity in IoT use cases, leveraging existing cellular infrastructure. With a maximum throughput of 264 bps at 837 ms measured latency, NB-IoT outperformed LoRaWAN and proved robust for machine-type communications. These findings will help IoT consumers and service providers understand the performance differences and deployment challenges of NB-IoT and LoRaWAN and establish new research directions to tackle IoT issues in developing countries. With Nigeria as a case study, for consumers and organisations at a crossroads in their long-term deployment decisions, the proposed LPWAN integrated architecture is an example of the deployment opportunities for consumer and industrial IoT applications in developing countries.

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Section: Leveraging Cellular Network For Iot Deployments In Nigeriamentioning

confidence: 97%

Section: Iot Deployment Opportunities In Developing Countriesmentioning

confidence: 99%

Section: Nb-iotmentioning

confidence: 99%

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Survey of IoT for Developing Countries: Performance Analysis of LoRaWAN and Cellular NB-IoT Networks

2021

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Role of Smart Agriculture Techniques in Food Security: A Systematic Review

Ahmad,

Ahsan,

Farooq

et al. 2024

J Agronomy Crop Science

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Agriculture plays an important part in the overall growth and development of a nation. Concerns about agriculture continue to be a recalcitrant obstacle in the path of upward movement. Although agricultural yields are increased, however, low‐ and middle‐income countries still have difficulty in producing all of the required foods with the current state of agricultural technology. Smart agriculture is becoming increasingly important to the farmers as a means of ensuring optimal field growth and higher crop yield. This systematic study analysed and briefly explained the effects of using smart agriculture techniques (SATs) from a variety of countries, including China, the United States of America, Australia, India, the Philippine Islands, South Africa, Pakistan and Iran, among others. Increased climatic change resulting in abiotic stress and other harmful effects on plants have resulted in decreased productivity under traditional agricultural practices. Stats from the literature have shown that the launching of SATs has resulted in a significant increase in cotton–wheat and rice–wheat crop yields, resultantly increased incomes of the farmers. Application of SATs, including satellite remote sensing, drones, machine learning and image processing, monitoring, wireless sensor networks, IoT–based robotics, precision agriculture and agroforestry could be extremely useful in developing intelligent agricultural systems in underdeveloped and developing countries, with improved plant growth, high crop yield and ensuring food security. These technologies could help farmers by storing additional water, spraying pesticides with drones, practicing precision agriculture and employing sensors for assessing different environmental parameters. By making efficient use of these technologies, countries could be able to increase the yield of their crops, which, in turn, will contribute to the reduction of poverty and the elimination of food insecurity.

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Narrowband-IoT as an Effective Developmental Strategy for Internet of Things in Sub-Saharan Africa: Nigerian Case Study

Cited by 2 publications

References 4 publications

Survey of IoT for Developing Countries: Performance Analysis of LoRaWAN and Cellular NB-IoT Networks

Survey of IoT for Developing Countries: Performance Analysis of LoRaWAN and Cellular NB-IoT Networks

Role of Smart Agriculture Techniques in Food Security: A Systematic Review

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