Wireless Multi-Sensor Networks for Smart Cities: A Prototype System With Statistical Data Analysis

Abstract

Abstract-As urbanization proceeds at an astonishing rate, cities have to continuously improve their solutions that affect the safety, health and overall wellbeing of their residents. Smart city projects worldwide build on advanced sensor, information and communication technologies to help dealing with issues like air pollution, waste management, traffic optimization, and energy efficiency. The paper reports about the prototype of a smart city initiative in Budapest which applies various sensors installed on the public lighting system and a cloud-based analytical module.While the installed wireless multi-sensor network gathers information about a number of stressors, the module integrates and statistically processes the data. The module can handle inconsistent, missing and noisy data and can extrapolate the measurements in time and space, namely, it can create short-term forecasts and smoothed maps, both accompanied by reliability estimates. The resulting database uses geometric representations and can serve as an information centre for public services.

Multiparameter Fusion Decision Routing Algorithm for Energy-Constrained Wireless Sensor Networks

“…When α is in (0, 1), NL and PLR are improved with its increase. In contrast, when it is in [1,20], both of them will increase α. Here, it needs to be explained in combination with the analysis in Section 3.3.1.…”

“…They communicate with each other in a multihop and self-organization manner through wireless radio. In the current development situation, WSNs have found wide research applications in intelligent life [1][2][3][4], industrial and agricultural production [5][6][7][8], disaster prevention and control [9][10][11], military applications [12], etc. In many applications, WSNs play an irreplaceable role.…”

A GRASP Meta-Heuristic for Evaluating the Latency and Lifetime Impact of Critical Nodes in Large Wireless Sensor Networks

“…However, with the improvements both in hardware and communication technologies of the recent years, and the appearance of the Internet of Things, they are gaining popularity [1]. Smart cities [2,3], smart buildings [4], health-care systems [5], industrial production, and many more fields are taking advantage of the data collection easiness that modern WSN offer to behave more efficiently. By collecting environmental data, smart buildings, for instance, can improve light and temperature control systems to save energy when possible, or even automate building actions by gathering people's movements in order to increase their comfort [6].…”

Communicating or Computing Over the MAC: Function-Centric Wireless Networks

“…The fusion center (FC) of these networks does not need the individual data of each node but only the target functions. For examples, in alarm detection of IoT networks [10], statistical data analysis for multi-sensor networks [11], and machine learning based on distributed data [12], only certain functions of the data are needed. The target function can be computed by using the individual data from each node at the FC.…”