Localization protocols for mobile wireless sensor networks: A survey

Chelouah, Leila; Semchedine, Fouzi; Bouallouche-Medjkoune, Louiza

doi:10.1016/j.compeleceng.2017.03.024

Cited by 56 publications

(39 citation statements)

References 15 publications

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“…In this chapter, we are discussing the overview of the mobile WSNs. According to the resources of the sensor nodes on an MWSN, it can be classified into homogeneous and heterogeneous MWSNs [3]. Homogeneous MWSN consists of identical mobile sensor nodes and they may have unique properties.…”

Section: Types Of Wsnsmentioning

confidence: 99%

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Mobile Wireless Sensor Networks: An Overview

Ramasamy¹

2017

Wireless Sensor Networks - Insights and Innovations

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Mobile wireless sensor networks (MWSNs) have emerged and shifted the focus from the typical static wireless sensor networks to networks with mobile sensor nodes that are capable to sense the various types of events. Also, they can change their position frequently in a specific sensing area. The applications of the MWSNs can be widely divided into time-driven, event-driven, on-demand and tracking based applications. Mobile sensor node architecture, residual energy utilization, mobility, topology, scalability, localization, data collection routing, Quality of Service (QoS), etc., are the key factors to design an energy efficient MWSNs for some specific purpose. This chapter deals with an overview of the MWSNs and a few significant phenomena to design an energy efficient MWSNs to the large-scale environment.

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Section: Types Of Wsnsmentioning

confidence: 99%

“…The main hardware constraints are limited battery power and low-cost requirements. i.e., the mobile sensor nodes should be energy efficient, low complexity algorithms required for microcontrollers and use of only a simplex radio [3].…”

Section: Introductionmentioning

confidence: 99%

Mobile Wireless Sensor Networks: An Overview

Ramasamy¹

2017

Wireless Sensor Networks - Insights and Innovations

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“…The security, energy efficiency, and positioning accuracy of a positioning system are considered as the three main indicators for evaluating the positioning design of sensor networks [1][2][3]. The limited energy of the sensor network increases the difficulty of its positioning.…”

Section: Introductionmentioning

confidence: 99%

A type of energy-efficient secure localization algorithm FM based in dynamic sensor networks

Xue

Bao

Wang

et al. 2020

J Wireless Com Network

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Since dynamic wireless sensor networks are widely used in the military field, the location information is the basis of various applications, because each node in the dynamic sensor network is moving continuously, and it is quite possible to be attacked by various forms of information. Aiming at the problem of secure localization in dynamic sensor networks, a new secure localization algorithm-frequency modulation secure localization (FMSL)-for dynamic sensor networks is proposed with the support of FM signal and Monte Carlo method. The algorithm uses FM signals which are widely covered to locate randomly distributed nodes loaded with FM signal receiving module, filters some malicious attack anchors in the network, and uses the improved Monte Carlo algorithm to locate the nodes, so as to improve the positioning accuracy. Meanwhile, according to the moving path and the localization time, energy consumption of the network could be estimated and also give the sleep scheduling strategy for the node to be localized. The simulation results show that the FMSL algorithm can significantly improve the security performance and positioning accuracy of mobile sensor networks compared with the existing security positioning algorithms such as Monte Carlo and convex programming. In the process of motion, the positioning accuracy can reach less than 10%.

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“…The major disadvantages of the range‐free technique are that it exhibits lower accuracy and there is a need for the presence of a larger number of anchor nodes to improve accuracy . The example of mobility‐assisted range‐free localization schemes are geometric constraint methods, Convex, and Monte Carlo approach . The localization accuracy is more accurate in range‐based localization techniques compared with range‐free techniques.…”

Section: Introductionmentioning

confidence: 99%

“…TOA and TDOA are energy exhaustive as a huge number of time probes are periodically exchanged between anchor and sensor nodes . Based on the manner in which computation is carried out, the localization scheme is categorized into two types: centralized method and distributed method . In the centralized method, the mobile beacon node measures the RSSI or TOA with respect to each sensor node and transmits the same to the base station.…”

Section: Introductionmentioning

confidence: 99%

Hybrid area exploration–based mobility‐assisted localization with sectored antenna in wireless sensor networks

Nagaraju

Sreejith

Gudino

et al. 2019

Int J Communication

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In common practice, sensor nodes are randomly deployed in wireless sensor network (WSN); hence, location information of sensor node is crucial in WSN applications. Localization of sensor nodes performed using a fast area exploration mechanism facilitates precise location-based sensing and communication. In the proposed localization scheme, the mobile anchor (MA) nodes integrated with localization and directional antenna modules are employed to assist in localizing the static nodes. The use of directional antennas evades trilateration or multilateration techniques for localizing static nodes thereby resulting in lower communication and computational overhead. To facilitate faster area coverage, in this paper, we propose a hybrid of max-gain and cost-utility-based frontier (HMF) area exploration method for MA node's mobility. The simulations for the proposed HMF area exploration-based localization scheme are carried out in the Cooja simulator. The paper also proposes additional enhancements to the Cooja simulator to provide directional and sectored antenna support. This additional support allows the user with the flexibility to feed radiation pattern of any antenna obtained either from simulated data of the antenna design simulator, ie, high frequency structure simulator (HFSS) or measured data of the vector network analyzer (VNA). The simulation results show that the proposed localization scheme exhibits minimal delay, energy consumption, and communication overhead compared with other area exploration-based localization schemes. The proof of concept for the proposed localization scheme is implemented using Berkeley motes and customized MA nodes mounted with indigenously designed radio frequency (RF) switch feed network and sectored antenna.KEYWORDS area exploration, directional antennas, localization, mobile anchor node, wireless sensor networks INTRODUCTIONThe wireless sensor network (WSN) is a collection of sensor nodes that perform different functionalities such as sensing, processing, and transmitting the data to the base station via multiple hops. WSN faces several challenges such as deployment, localization, and connectivity. The deployment strategy in WSN is classified as structured deployment and Int J Commun Syst. 2020;33:e4220.wileyonlinelibrary.com/journal/dac

show abstract

Localization protocols for mobile wireless sensor networks: A survey

Cited by 56 publications

References 15 publications

Mobile Wireless Sensor Networks: An Overview

Mobile Wireless Sensor Networks: An Overview

A type of energy-efficient secure localization algorithm FM based in dynamic sensor networks

Hybrid area exploration–based mobility‐assisted localization with sectored antenna in wireless sensor networks

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