Dynamic modulation scaling enabled multi-hop topology control for time critical wireless sensor networks

The previous work on connection driven topology control has shown that it has significant potential to reduce energy consumption of Wireless Sensor Networks (WSNs). Dynamic Modulation Scaling (DMS) which is a technique that manages transmission power levels in order to change the number of bits enco...

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Bibliographic Details
Published inWireless networks Vol. 26; no. 2; pp. 1203 - 1226
Main Authors Gumusalan, Arda, Simon, Robert, Aydin, Hakan
Format Journal Article
LanguageEnglish
Published New York Springer US 01.02.2020
Springer Nature B.V
Subjects
Communications Engineering
Computer Communication Networks
Electrical Engineering
Energy consumption
Engineering
IT in Business
Mixed integer
Modulation
Network topologies
Networks
Noise levels
Optimization
Performance measurement
Polynomials
Real time
Remote sensors
Software radio
Wireless networks
Wireless sensor networks
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Summary:The previous work on connection driven topology control has shown that it has significant potential to reduce energy consumption of Wireless Sensor Networks (WSNs). Dynamic Modulation Scaling (DMS) which is a technique that manages transmission power levels in order to change the number of bits encoded per symbol has a direct impact on connection driven topology control. In this paper we investigate the transmission scheduling of multi-hop real-time WSNs equipped with DMS enabled radio chips while taking the effect of DMS on topology control into account. To our best knowledge, this is the first paper that addresses this issue. The current work on DMS enabled WSN tend to rely on theoretical DMS models to predict network performance metrics. However, there is little, if any, work that is based upon empirically verified network performance outcomes using DMS especially on its effect on connection driven topology control. This paper fills this gap by using GNU Radio and Software Defined Radio hardware to show how to emulate DMS in low power wireless systems and measure the impact of varying Signal-to-Noise levels, distance and elevation on throughput and delivery rates for different DMS control strategies. Next, we present the Mixed Integer Nonlinear Optimization Problem of minimizing energy consumption of DMS enabled connection driven topology control on real-time WSNs. Lastly, we present two polynomial time heuristics and compare their performance against the optimal solution.
ISSN:1022-0038
1572-8196
DOI:10.1007/s11276-019-02146-9