cellular networks, such as LTE, Global System for Mobile Communica-
tions (GSM), etc. can achieve long-distance transmission through
multi-hop mesh networking, it is not the most ideal solution, because the
cost of network deployment and communication is too high (Finnegan
and Brown, 2018). In order to lower the cost of long-range communi-
cation, LPWA technologies, which can achieve a long range of a few to
tens of kilometers, and battery life of ten years and beyond at the expense
of low data rate (about 10 kb/s), are proposed for connecting ubiquitous
IoT devices (Petajajarvi et al., 2015). Note that LPWA technologies
achieve long transmission range and low power consumption at the
expense of low transmission rate (typically tens of kb/s) and high latency
(typically a few seconds or minutes). In summary, LPWA technologies are
only suitable for these use cases that are tolerance to the network delay,
require low power consumption and low cost, and have no need on the
transmission rate.
2.2. Design goals
LPWA technologies are designed to offer low power connectivity for
large number of devices over a wide area at low cost. Low power refers to
using a cheap power source (e.g., a button cell or a pair of AA batteries) to
enable the IoT devices to function autonomously for a long period of time
(up to 10 years). Wide area refers to a long direct communication dis-
tance between two IoT devices, which enables the coverage of city or
rural area without using complex mesh networking technique. In this
section, we like to highlight the design goals of LPWA technologies,
including long range, low power, low cost, and scalability.
Long Range. Wide area coverage is an important design goal of
LPWA technologies, which can be achieved by exploiting several factors,
such as sub 1 GHz, special modulation schemes, etc. The deployment
environment (rural, urban, etc.) also has an impact on the communica-
tion range from a few to tens of kilometers.
Using Sub 1 GHz bands: Most LPWA technologies use sub 1 GHz to
offer robust and reliable wireless communication with a few excep-
tion (e.g. Weightless-W ( Weightless, 2019) and Ingenu (Ingenu,
2019a)). Because when encountering obstacles, the communication
signal with lower frequency has less attenuation and multiple path
fading. Moreover, sub 1 GHz is less congested than 2.4 GHz, in which
multiple protocols (e.g., Bluetooth, ZigBee, WiFi, etc.) are running
simultaneously. As a result, using sub 1 GHz can lower the possibility
of interference between different communication techniques
(Andreev et al., 2015).
Modulation Schemes: In LPWA technologies, the modulation rate and
data rate are slowed down to save more energy to transmit the data
and then the receivers can decode the attenuated signals correctly.
Generally speaking, there are two types of modulation schemes
adapted in different LPWA technologies, including narrowband and
wideband techniques. Narrowband technology first compresses
sensed data into ultra-narrow bands and then uses signal processing
techniques to decompress data (Reynders et al., 2016; Goursaud and
Gorce, 2015), while wideband technology adopts a larger bandwidth
than needed and utilizes frequency diversity to express the sensed
data.
Low Power. LPWA technologies also need to be run with a cheap
power source (e.g., a button cell or a pair of AA batteries) as they either
do not or cannot easily replace the power source. As a result, under the
low power circumstances, the longer the lifetime of power source, the
more suitable for LPWA connectivity. To lower the energy consumption
in designing LPWA technologies, some of the following aspects should be
taken into consideration.
Topology. In short range wireless networks, mesh networking tech-
nique is adapted to extend the transmission range, which will cause a
high deployment cost. In addition, the data will be transmitted to the
end devices through multiple hops, resulting in quick depletion of the
batteries (Oppermann et al., 2014). To address this limitation, most
LPWA technologies adapt a star topology, where the sensed nodes
connect to a base station directly. There is no need for the dense and
expensive deployments of relays and gateways altogether. In this
case, it saves the energy for the communication and provides a quick
access to the end devices (Raza et al., 2017).
Duty Cycling. In order to further save energy consumption, LPWA
devices are designed to turn off the power hungry components
opportunistically. Specifically, when the data is to be transmitted or
received, the device is turned on. In LPWA networks, the duty cycling
mechanisms are used according to several factors, such as the appli-
cations, communication pattern, type of power source, etc. By
designing a listening schedule between the end device and base sta-
tion, different components of IoT devices (e.g., uplink module or
downlink module) could be wakeup accordingly (Sornin et al., 2015).
In addition, duty cycling is also a legislative requirement that a
transmitter is limited to occupy the channel at a certain time to ensure
the coexistence with other devices (Burns et al., 2015).
Lightweight Medium Access Control. The most popular Medium Access
Control (MAC) protocol in cellular networks and short-range wireless
networks is exploiting frequency and time diversity to synchronize
base stations and the User Equipment (UE) accurately (Zhang et al.,
2015). However, this MAC protocol is not suitable for LPWA networks
as the cheap end devices (less than 5$) do not have high quality os-
cillators to achieve the function. Therefore, a simple random access
scheme – ALOHA is adapted and performs well in LPWA technologies,
because it keeps the transceiver simple and low cost (Sinha et al.,
2017). Moreover, TDMA-based protocols are also adapted by several
LPWA technologies to improve the efficiency (Cano et al., 2017).
Offloading Complexity. Many complex components of the application
are offloaded to the base stations for simplifying the design of end
devices (Gu et al., 2018). Thus the base stations have to exploit
hardware diversity to be capable of receiving and transmitting mul-
tiple tasks from different end devices. However, it brings a high
communication consumption for the whole network. To address the
challenge, we have to make a trade-off between of floading the tasks
to the base stations and running on local devices because different IoT
applications have different requirements, such as bandwidth, data
rate, latency, etc.
Low Cost. Low cost is also a key design goal of LPWA technologies.
LPWA networks have success in connecting a large number of end
Fig. 3. LPWA network architecture (Sanchez-Iborra and Cano, 2016).
F. Gu et al. Journal of Network and Computer Applications 149 (2020) 102459
3