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Due to global warming, energy management systems (EMSs) for spaces are attracting a lot of attention. In order to realize effective EMS control and thus higher energy efficiency, we must be able to detect human presence/action in each space. Using non-dedicated sensor information to achieve this can reduce the number of sensors and the network workload as well. This paper proposes a simple method...
The indoor location-based services has become attractive with the fast improvement of indoor position estimation and with the spread of smart phones. Bluetooth Low Energy is one of the most recent advancements for IoT and particularly appropriate for ultra-low power sensors running on Complementary Metal-Oxide Semiconductor coin cell batteries. Bluetooth Low Energy is effective option for indoor positioning...
Wireless Body Area Network (WBAN) is a time critical remote network where various physiological information of patients are sent through satisfying stringent QoS requirements. However, performance of WBAN may degrade severely due to the coexistence problem, a well known phenomenon where different wireless channel access technologies share the overlapped frequency bands. In this paper, the coexistence...
In this paper, we propose an efficient method of distance estimation for the localization of wireless capsule endoscope (WCE) using received signal strength indicator (RSSI). As RSSI is attenuated with change of distance, we can use RSSI measurements to estimate the distance. The main challenge in wireless capsule localization in the gastrointestinal (GI) tract is the random deviation in RSSI measurements...
Traditional mobile ad hoc networks are assumed to be homogeneous networks that nodes have single radio interface. Nodes moving fast and randomly, so they usually suffer from frequent link failures and less communication opportunities. In order to improve the network performance, heterogeneous ad hoc networks with multiple radio interfaces are involved. There are many routing protocols for traditional...
This paper proposes an indoor localization method using online independent support vector machine (OISVM) classification method and undersampling techniques. The system is based on the received signal strength indicator (RSSI) of Wi-Fi signals. A new undersampling algorithm is developed to address the imbalanced data problem associated with the OISVM, and a kernel function parameter selection algorithm...
Radio signals can be used to detect the presence of a person (target) in an environment by analysing the fluctuations in the Received Signal Strength Indicator (RSSI). The velocity of the target can be estimated by examining the sequence of disturbances in consecutive radio links over a period of time. This requires knowledge of the deployment of the radio transceivers and the time when the target...
This research focused on distance measurement using Received Signal Strength Indicator (RSSl) that utilizing Pythagoras theory to get the position of a smartphone with the help of 4 Access Point (AP) in indoor environment. There were many research have been done in this area, but the issue is about the accuracy. From studies that have been done before, there are differences between the results of...
Wireless Sensor Network (WSN) has witnessed tremendous progress in the domain of processing power enhancement and improvement in sensing capabilities and wireless communications. With more critically important applications being designed for the WSN, security becomes a matter of prime importance. Though a lot of work has been carried out in the field of security for WSN, yet providing a robust security...
In Wireless Sensor Network (WSN) one of the major challenging security issue is the management of keys. Key management is a major categorisation and includes several important elements namely, key updating, key distribution and most importantly key generation. Most of the physically deployed WSN has been deployed with pre distributed random keys which are seldom updated. This proves a challenge to...
This paper describes how the location of a test object or person can be determined at room resolution using Bluetooth Low Energy (BLE). Therefore, the test object or person is equipped with a BLE node and approximately central in each room a low-cost and low-power BLE sensor is placed. No stringent installation requirements or battery replacement is needed for these sensors. They send advertising...
In this paper an experimental performance analysis of the second, third and fourth generation of public mobile networks is presented. The voice and data services are tested and quality of service parameters are considered in the analysis. Measurements are performed in indoor environment and real microcell of the specific radio technology is analysed. QualiPoc measuring software on the mobile phone,...
Improving the accuracy of indoor positioning systems (IPS) has constantly been and still an active challenge. The Compressive Sensing (CS) approach has recently been shown to have a potential for indoor positioning systems (IPSs) solution once the positioning problem is modeled into a sparse signal recovery one. Indeed, positioning schemes using Received Signal Strength Indicator (RSSI) fingerprint...
Localization is crucial for various applications, this includes resource coordination in small and ultra-small cells, as well as the whole range of Location Based Service (LBS). Multilateration is a localization technique that is based on distance measurements between multiple reference nodes and a target node. This paper introduces a multilateration localization approach that uses Singular Value...
We consider the energy efficiency-aware user association problem in heterogeneous networks (HetNets). Since there is a large disparity between the transmit power levels of the macro and small cell base stations, the traditional downlink received signal strength indicator (RSSI) based user association results in extreme load imbalance and high uplink interference, which degrades the spectrum efficiency...
This paper investigates the role of quantization in the Received Signal Strength Indicator (RSSI) information used for fingerprinting (FP) applications. One of the common drawbacks of FP is the large data size and consequently the large search space and computational load as a result of either vastness of the positioning area or the finer resolution in the FP grid map: this limits the application...
Location Based Services (LBS) have attracted significant attention in recent years, and the demands for accurate indoor localization techniques have risen rapidly. Among all these techniques, the RSS-based fingerprinting localization is the most viable method due to its stable performance without the need for additional hardware. However, the traditional methods do not take the topological structure...
In this paper, we propose an algorithm for sensor node deployment on a 2-D obstructed Wireless Sensor Network (WSN). Our algorithm is based on Received Signal Strength Indicator (RSSI) and exploits the concept of frequency diversity. We start by analyzing the correlation between the power dissipation derived through our power estimation model and the RSSI received from the sensor nodes. We generate...
In the specific context of wearable wireless networks, this work aims at improving the accuracy and the robustness of radiolocation solutions based on standard narrow-band radio technologies for user-centric mobile applications. The proposed solution takes benefits from off-body or body-to-body radio links, with respect to fixed elements of infrastructure or to other mobile equipped subjects, respectively...
Device-free indoor localization (DFIL) system can locate the position of human body in the indoor environment by observing the changes in the received signal strength indicator (RSSI) of the wireless local area network (WLAN). The accuracy of a DFIL system is depreciated, as the change in the indoor environment due to furniture and other infrastructure movement. This paper investigates the development...
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