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We present a technique to identify transmission timing for IEEE802.15.4 based Wireless Sensor Networks (WSNs) in the presence of WiFi interference. Our technique is based on modeling WiFi traffic with a Modulated Markov Poisson Process (MMPP) model in order to enable us to predict when WiFi transmissions take place and avoid them. We have evaluated the accuracy of our model in a small test-bed. Results...
We argue that spectrum sensing on mobile clients will be both necessary and feasible if we wish to manage the white space spectrum optimally in indoor spaces. We demonstrate the necessity with a set of empirical measurements showing the need for fine grained sensing. We demonstrate the feasibility by building a spectrum sensing infrastructure that collects measurements from sensing devices to analyze...
Airborne sensors are often idle for much of their flight, e.g., while the platform carrying them is in transit to and from the locations of sensor tasks. The sensing needs of many other potential information consumers might thus be served by sharing such sensors, allowing other information consumers to opportunistically task them during their otherwise unscheduled time. Toward this end, we have developed...
The fault-tolerant character of WSN protocols and applications that do not assume completely reliable systems legitimize undervolting - a highly efficient energy management technique where the supply voltage is set below the minimum specifications. As has been shown in earlier work, by using thereliable IdealVolting undervolting scheme the lifetime of WSN applications can be increased significantly...
Advances in wireless technology have resulted in pervasive deployment of devices of a high variability in form factors, memory and computational ability. The need for maintaining continuous connections that deliver data with high reliability necessitate re-thinking of conventional design of the transport layer protocol. This paper investigates the use of Q-learning in TCP cwnd adaptation during the...
Wireless Sensor Networks (WSNs) are becoming a key enabling technology for Internet of Things (IoT) by virtue of providing a highly unstructured cloud of wireless devices. Despite these advances, the current Internet architecture is not able to cater to the high volume of new traffic patterns delivered by these smart sensing devices. In this context, Software Defined Networking (SDN) has emerged as...
This paper describes the first 'image beacon' system that is capable of broadcasting binary images over a very long period (years, as opposed to days or weeks) using a set of cheap, low-power, memory-constrained Bluetooth Low Energy (BLE) beacon devices. We design a patch-based image encoding algorithm to produce encoded images of reasonably high quality, having sizes of as low as 16 bytes -- without...
We study how to efficiently transfer energy wirelessly in ad hoc networks of battery-limited devices, towards prolonging their lifetime. We assume a weak population of distributed devices which are exchanging energy in a "peer-topeer", manner with each other. We address a quite general case of diverse energy levels and priorities in the network and study the problem of how the system can...
This paper develops a new principled frameworkto solve a hardness-aware truth discovery problem in socialsensing applications. Social sensing has emerged as a new applicationparadigm where a large crowd of social sensors (humansor devices on their behalf) are recruited to or voluntarily reportobservations about the physical environment at scale. Theseobservations may be either true or false, and hence...
Robustness in wireless sensor networks (WSNs) is a critical factor that largely depends on their network topology and on how devices can react to disruptions, including node and link failures. This article presents a novel solution to obtain robust WSNs by exploiting principles of biological robustness at nanoscale. Specifically, we consider Gene Regulatory Networks (GRNs) as a model for the interaction...
This paper studies means of archiving energy balance in Wireless Sensor Networks (WSNs) as criterion to increase network lifetime. While protocols for balancing energy through centralized computation have been established, effective solutions for more realistic distributed settings are still an open research field. In this work, we present a novel approach for balancing energy in WSNs in a distributed...
Due to their rapid evolution, mobile devices demand for more dynamic and flexible networking services. A major challenges of future mobile networks is the increased mobile traffic. With the recent upcoming technologies of network programmability like Software-Defined Network (SDN), it may be integrated to create a new communication platform for Internet of Things (IoT). In this work, we present how...
In the context of acoustic monitoring, the location of a sound source can be passively estimated by exploiting time-of-arrival and time-difference-of-arrival measurements. To evaluate the fundamental hardness of a location estimator, the Cramer-Rao bound (CRB) has been used by many researchers. The CRB is computed by inverting the Fisher Information Matrix (FIM), which measures the amount of information...
Prior research has shown the potential of device-free WiFi sensing for human activity recognition. In this paper, we show for the first time WiFi signals can also be used to uniquely identify people. There is strong evidence that suggests that all humans have a unique gait. An individual's gait will thus create unique perturbations in the WiFi spectrum. We propose a system called WiFi-ID that analyses...
The 6TiSCH working group is standardizing the low-power wireless protocol stack for the Industrial IoT. The default scheduling function (SF0) standardized by 6TiSCH uses simple random slot selection. This paper proposes the Low Latency Scheduling Function (LLSF), a new scheduling function which daisy-chains timeslots rather than picking them randomly. We implement LLSF in OpenWSN and evaluate its...
In wireless sensor networks (WSNs), how to reduce the power consumption thus lengthen the system life time is one of the key issues to sustain the services. According to the radio model, packet transmission depletes a much more substantial amount of the energy budget when compared to sensing and processing. Therefore, it is desirable to compress or filter the sensing data effectively in order to save...
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