Design and evaluation of a real-time locating system for wireless sensor networks

Abstract

Evaluating target-tracking protocols for wireless sensor networks that can localise multiple mobile assets can be a very challenging task. Such protocols usually aim at the minimisation of communication overhead, data processing for the participating nodes and delivering adequate tracking information of the mobile assets in a timely manner. Simulations on such protocols are performed using theoretical models that are based on unrealistic assumptions like the unit disc graph communication model, ideal network localisation and perfect distance estimations. With these assumptions taken for granted, theoretical models claim various performance milestones that cannot be achieved in realistic conditions. In this paper, we design a new localisation protocol, where mobile assets can be tracked passively via software agents. Moreover, we address and mitigate issues that hinder performance over the wireless medium and provide a fully deployable protocol. The design, implementation and experimentation of this new protocol along with further optimisations were performed using the WISEBED framework. We apply our protocol in a real indoor wireless sensor testbed with multiple experimental scenarios to showcase scalability and trade-offs between network properties and configurable protocol parameters. By analysis of the real-world experimental output, we present results that depict a more realistic view of the target tracking problem, regarding power consumption and the quality of tracking information. Finally, we also conduct some much focused simulations to assess the scalability of our protocol in very large networks and multiple mobile assets

Design and Analysis of Adaptive Hierarchical Low-Power Long-Range Networks

“…The adaptation mechanisms can be extended to change the structure in cases when concurrent events take place whose performance parameters have conflicting goals. Another research direction is to examine the performance of the organization scheme in specific application domains, such as, for example, the tracking of mobile assets in large-scale deployments [45,46]. It is expected that the hierarchical structure proposed here can be exploited to improve the scalability of the tracking process.…”

IoT and Big Data Framework for Paddy Cultivation

“…The Wireless Sensor nodes are typically deployed in the paddy field to maximize the coverage they are deployed based unit disc graph model [21] [22]. The above algorithm is implemented based on greedy algorithm [23].…”

Evaluating the impact of smart technologies on harbor’s logistics via BPMN modeling and simulation

“…Thus, with current solutions, real-time identification and localization of containers are error-prone activities that still require human intervention to manage anomalous situations (for example, by physically searching the containers that are out of place). In order to overcome these limitations, several works have been proposed to add tracking and tracing capabilities to localization techniques by using wireless sensor networks [14,35,62]. WSNs have proven to be useful in different scenarios, from human activity recognition [47,48] to ambient assisted living [46] as well as for general purpose indoor localization systems [6,9].…”