Localization in mobile wireless sensor networks using drones

Abstract

Localization is one of the most important aspects of wireless sensor networks.Most of the localization algorithms proposed in the literature, work for static networks. However, the performance of these protocols in the mobile environment still needs to be investigated. Localization in a mobile environment may pose challenges of accuracy and computational complexity due to mobility of the nodes. In this article, we have proposed an algorithm for localization in mobile wireless sensor networks using drones (LMWSND). A drone-based algorithm is proposed to simulate the moving trajectory of the drones. The proposed drone-based algorithm uses the technique of received signal strength between the drone and unknown sensor nodes to find the distance between them. The distance thus obtained is used for localization of the unknown nodes. A new method is used to solve the system of distance equations to restrict the propagation of error. Furthermore, the mathematical analysis of the propagation error in LMWSND proves the superiority of our proposed algorithm in comparison to other algorithms. The results obtained through simulations further strengthen our conclusion that the proposed algorithm reduces the propagation of error.We have also proposed another algorithm to choose the nearby beacon points for better utilization of the network resources and to reduce the computational efforts.

A localization scheme based on Improving Dynamic Population Monte Carlo Localization method for large‐scale mobile wireless aquaculture sensor networks

“…A range-free localization scheme can keep the cost down without being equipped with additional hardware. Then, unknown locations are obtained through estimating and computing the changement of network's topology and connectivity [5][6][7][8][9]. The Sequential Monte Carlo (SMC) technique [10,11] is mostly adopted to estimate locations of unknown nodes for range-free localization.…”

Fly, Wake-up, Find: UAV-based Energy-efficient Localization for Distributed Sensor Nodes

“…WSNs are widely used for many practical industrial applications, such as remote monitoring or parcel tracking in big warehouses [4][5][6]. Usually, industrial WSNs contain a large number of simple, cheap, and resource-constrained (e.g., battery-powered) wireless sensor nodes deployed in wide indoor environments, such as warehouses and industrial facilities [5,7]. Within a WSN, data are first collected in some local-host, which forwards the relevant information to a central infrastructure that can be geographically decoupled from the deployment area [8].…”

“…Within a WSN, data are first collected in some local-host, which forwards the relevant information to a central infrastructure that can be geographically decoupled from the deployment area [8]. In this context, UAVs are envisioned as an alternative to traditional gateways to overcome their limitations in terms of bandwidth, range, energy consumption and the need for physical infrastructure [7,9].…”

Design and implementation of a novel real‐time unmanned aerial vehicle localization scheme based on received signal strength

“…Source localization methods include received signal strength (RSS), 6‐8 time of arrival (TOA), 9,10 time difference of arrival (TDOA), 11,12 and angle of arrival (AOA) 10,13 . The usage of TOA and TDOA for localization requires precise timing and synchronization, increasing the cost and complexity of implementation 14,15 . RSS‐based methods are low cost and simple to implement compared with TOA, TDOA, and AOA.…”