Interference Mitigation through Adaptive Power Control in Wireless Sensor Networks

Chincoli, Michele; Bacchiani, C.; Syed, Aly; Exarchakos, Georgios; Liotta, Antonio

doi:10.1109/smc.2015.232

Cited by 8 publications

(2 citation statements)

References 25 publications

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“…The work presented hereafter builds on the preliminary findings introduced in [12]. We have significantly extended our analysis, studying a broader range of cases and the effects of node density and of a fine-grained transmission power variation.…”

Section: Introductionmentioning

confidence: 91%

Power Control in Wireless Sensor Networks with Variable Interference

Chincoli

Syed

Exarchakos

et al. 2016

Mobile Information Systems

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Adaptive transmission power control schemes have been introduced in wireless sensor networks to adjust energy consumption under different network conditions. This is a crucial goal, given the constraints under which sensor communications operate. Power reduction may however have counterproductive effects to network performance. Yet, indiscriminate power boosting may detrimentally affect interference. We are interested in understanding the conditions under which coordinated power reduction may lead to better spectrum efficiency and interference mitigation and, thus, have beneficial effects on network performance. Through simulations, we analyze the performance of sensor nodes in an environment with variable interference. Then we study the relation between transmission power and communication efficiency, particularly in the context of Adaptive and Robust Topology (ART) control, showing how appropriate power reduction can benefit both energy and spectrum efficiency. We also identify critical limitations in ART, discussing the potential of more cooperative power control approaches.

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Section: Introductionmentioning

confidence: 91%

Power Control in Wireless Sensor Networks with Variable Interference

Chincoli

Syed

Exarchakos

et al. 2016

Mobile Information Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…Also, a collision avoidance algorithm was proposed in [8] which can be useful in mesh networks. Moreover, contention can be reduced using adaptive transmission power, see [9]. TSCH has been exploited in several works to date, such as [10] and [11].…”

Section: Introductionmentioning

confidence: 99%

Mutual Aid Among Sensors: An Emergency Function for Sensor Networks

Michaelides

Pavlidou

2020

IEEE Sens. Lett.

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A large number of wireless sensor nodes in a certain area results in high contention. Inevitably, the transmissions of any possible critical data packets may fail due to collisions. In this article, we introduce an aspect of human intelligence in wireless sensor networks, influenced by cooperative networking, which enhances the timely delivery of critical data. Mutual aid among sensors (MAAS), is an emergency out-of-the-box medium access control (MAC) function for IEEE 802.15.4-2020. Specifically, the network coordinator detects critical data packets and sets an emergency flag to its next beacon, to inform the nodes that they may overhear data packets. When a node overhears a critical data packet from a neighboring node it switches to sleep mode and stays idle until the end of the superframe. Thus, interference is mitigated locally and temporarily. Simulation results, using the CC2650 radio parameters in OMNeT++, show that interference is reduced significantly, in favor of the timely delivery of critical data packets.

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Transmission Power Control in WSNs: From Deterministic to Cognitive Methods

Chincoli

Liotta

2017

Internet of Things

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Interference Mitigation through Adaptive Power Control in Wireless Sensor Networks

Cited by 8 publications

References 25 publications

Power Control in Wireless Sensor Networks with Variable Interference

Power Control in Wireless Sensor Networks with Variable Interference

Mutual Aid Among Sensors: An Emergency Function for Sensor Networks

Transmission Power Control in WSNs: From Deterministic to Cognitive Methods

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