Radio Context Awareness and Applications

Reggiani, Luca; Fiorina, Jocelyn; Gezici, Sinan; Morosi, Simone; Nájar, Montse

doi:10.1155/2013/491092

Cited by 4 publications

(2 citation statements)

References 82 publications

(80 reference statements)

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“…The signal often decays at an uncertain rate. 40,41 Besides, different transmitting antennas have various gains and wavelengths. 42 A simplified form of the relationship is defined…”

Section: System Overviewmentioning

confidence: 99%

Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks

Jia

Guan

2018

International Journal of Distributed Sensor Networks

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The surveillance system, which is mainly used for detecting and tracking moving targets, is one of the most significant applications of wireless sensor networks. Up to present, received signal strength indicator is the most common measuring mean for estimating the distance in sensor networks. However, in the presence of noise, it is impossible to gain the accurate distance based on received signal strength indicator. In this article, we propose a new tracking scheme based on received signal strength difference, which is the difference value of received signal strength indicators between two neighboring sampling steps. Supposing the noise has a certain degree of correlation in a certain time interval, received signal strength difference can effectively reduce the negative impact from noise. The tracking algorithm based on received signal strength difference is built: The sensor nodes collectively estimate a possible zone of the target via the signs of received signal strength difference. Next, the possible zone is further immensely shrunk to the refined zone via the absolute values of received signal strength difference. Finally, we determine the target's final location by choosing the reference dot with the minimum norm in the refined zone. The simulation results demonstrate that the proposed tracking method achieves higher localization accuracy than the typical received signal strength indicator-based scheme. The received signal strength difference-based method also has good generality and robustness with respect to the noises with different deviation values and the target following arbitrarily state model.

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“…The signal often decays at an uncertain rate. 40,41 Besides, different transmitting antennas have various gains and wavelengths. 42 A simplified form of the relationship is defined…”

Section: System Overviewmentioning

confidence: 99%

Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks

Jia

Guan

2018

International Journal of Distributed Sensor Networks

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“…Wireless Sensor Networks (WSNs) have been extensively investigated for various fields, e.g., agriculture and environmental sensing [1,2]. In wild environments, sensor nodes, despite their limited battery capacity, are not attended to (no recharge, no battery exchange) any more once deployed.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Data Collection Method for Sensor Networks by Integrating Asymmetric Communication and Wake-Up Radio

Iwata

Tang

Obana

2018

Sensors

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In large-scale wireless sensor networks (WSNs), nodes close to sink nodes consume energy more quickly than other nodes due to packet forwarding. A mobile sink is a good solution to this issue, although it causes two new problems to nodes: (i) overhead of updating routing information; and (ii) increased operating time due to aperiodic query. To solve these problems, this paper proposes an energy-efficient data collection method, Sink-based Centralized transmission Scheduling (SC-Sched), by integrating asymmetric communication and wake-up radio. Specifically, each node is equipped with a low-power wake-up receiver. The sink node determines transmission scheduling, and transmits a wake-up message using a large transmission power, directly activating a pair of nodes simultaneously which will communicate with a normal transmission power. This paper further investigates how to deal with frame loss caused by fading and how to mitigate the impact of the wake-up latency of communication modules. Simulation evaluations confirm that using multiple channels effectively reduces data collection time and SC-Sched works well with a mobile sink. Compared with the conventional duty-cycling method, SC-Sched greatly reduces total energy consumption and improves the network lifetime by 7.47 times in a WSN with 4 data collection points and 300 sensor nodes.

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A Primer On Public Safety Communication in the Context of Terror Attacks: The NATO SPS “COUNTER-TERROR” Project

Alam

Moullec

Ahmad

et al. 2020

NATO Science for Peace and Security Series B: Physics and Biophysics

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Radio Context Awareness and Applications

Cited by 4 publications

References 82 publications

Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks

Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks

Energy-Efficient Data Collection Method for Sensor Networks by Integrating Asymmetric Communication and Wake-Up Radio

A Primer On Public Safety Communication in the Context of Terror Attacks: The NATO SPS “COUNTER-TERROR” Project

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