Page 16 - ITUJournal Future and evolving technologies Volume 2 (2021), Issue 1

ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 1

RODENT: A flexible TOPSIS based routing protocol for multi-technology
devices in wireless sensor networks
Pages 89–100
Brandon Foubert, Nathalie Mitton

Wireless Sensor Networks (WSN) are efficient tools for many use cases, such as environmental
monitoring. However WSN deployment is sometimes limited by the characteristics of the Radio Access
Technologies (RATs) they use. To overcome some of these limitations, we propose to leverage the use
of a Multiple Technologies Network (MTN). What we refer to as MTN is a network composed of nodes
which are able to use several RAT and communicating wirelessly through multi-hop paths. The
management of the RAT and routes must be handled by the nodes themselves, in a local and distributed
way, with a suitable communication protocol stack. Nodes may reach multiple neighbors over multiple
RAT. Therefore, each stack's layer has to take the technologies' heterogeneity of the devices into
account. In this article, we introduce our custom Routing Over Different Existing Network
Technologies protocol (RODENT), designed for MTN. It enables dynamic (re)selection of the best
route and RAT based on the data type and requirements that may evolve over time, potentially mixing
each technology over a single path. RODENT relies on a multi-criteria route selection performed with
a custom lightweight TOPSIS method. To assess RODENT's performances, we implemented a
functional prototype on real WSN hardware, Pycom FiPy devices. Unlike related prototypes, ours has
the advantage not to rely on specific infrastructure on the operator's side. Results show that RODENT
enables energy savings, an increased coverage as well as multiple data requirements support.

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A multi-link communication connectivity game under hostile interference
Pages 101–112
Andrey Garnaev, Wade Trappe, Narayan B. Mandayam, H. Vincent Poor
In this paper, we consider a communication connectivity problem involving a primary user (transmitter,
for example, a Ground Control Station (GCS)) servicing a group of secondary users (receivers, for
example, drones) under hostile interference. We formulate this multi-link communication connectivity
problem, where the channels are affected by Rayleigh fading, as a zero-sum power resource allocation
game between a transmitter and an adversary (jammer). The transmitter's objective is to maximize the
probability of communication connectivity with all the receivers. It is proven that the problem has
unique equilibrium in power allocation strategies, and the equilibrium is derived in closed form.
Moreover, we reduce the problem of designing the equilibrium in power resource allocation strategies
to the problem of finding a fixed point of a real-valued function. An algorithm based on the bisection
method to find the fixed point (and so equilibrium strategies) is developed, and its convergence is
proven.

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