Adapting Mobile Beacon-Assisted Localization in Wireless Sensor Networks

Teng, Guodong; Zheng, Kun; Dong, Wei

doi:10.3390/s90402760

Cited by 27 publications

(31 citation statements)

References 21 publications

(37 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…APIT also performs better when node placement is random as well as with irregular radio patterns. Teng et al [14] in 2009 developed mobile beacon assisted localization (MBL) for wireless sensor networks. In this approach, all nodes are unknown and they have no information about their surrounding nodes and their own locations.…”

Section: Range Free Localizationmentioning

confidence: 99%

Secure Actor Directed Localization in Wireless Sensor and Actor Networks

Ali

Khan²,

Hayat

et al. 2013

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Wireless sensor and actor networks are fully automated. Actor nodes are inducted to communicate with sensor nodes directly and reduce the communication delay caused by base station or sink nodes. Sometimes, the actor node is directly accessible without the involvement of any control room. The actor node is responsible for taking a prompt action against the reported event by a sensor node. For secure communication, it is essential that sensor and actor nodes be aware of their existing location and the data must be encrypted before transmission. Due to energy constraints, secure localization in wireless sensor networks is a hot issue. To date, the researchers have proposed many approaches for localization of sensor nodes in the network. In this paper, we provide new insights for secure actor directed localization technique in wireless sensor and actor networks. A secure connectivity based localization (CBL) approach for sensor and actor nodes localization is presented. The proposed approach helps to locate a sensor node efficiently and effectively. We have also decreased the possibility of attacks and the registration of attacker nodes with other legitimate nodes in the network. The proposed technique prevents man-in-the-middle attacks and securely delivers data to the destination.

show abstract

Section: Range Free Localizationmentioning

confidence: 99%

Secure Actor Directed Localization in Wireless Sensor and Actor Networks

Ali

Khan²,

Hayat

et al. 2013

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

show abstract

“…The filter is run on the beacon node. In [2], [14], a particle filter solution is presented. In [14], the authors proposed to increase filtering efficiency and accuracy by varying the size of sample sets and the parameter of the dynamic model in the estimation process.…”

Section: Related Workmentioning

confidence: 99%

Mobile-Beacon Assisted Sensor Localization with Dynamic Beacon Mobility Scheduling

Mitton

Simplot-Ryl

et al. 2011

2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems

View full text Add to dashboard Cite

Abstract-In mobile-beacon assisted sensor localization, beacon mobility scheduling aims to determine the best beacon trajectory so that each sensor receives sufficient beacon signals with minimum delay. We propose a novel DeteRministic bEAcon Mobility Scheduling (DREAMS) algorithm, without requiring any prior knowledge of the sensory field. In this algorithm, beacon trajectory is defined as the track of depth-first traversal (DFT) of the network graph, thus deterministic. The mobile beacon performs DFT under the instruction of nearby sensors on the fly. It moves from sensor to sensor in an intelligent heuristic manner according to RSS (Received Signal Strength)-based distance measurements. We prove that DREAMS guarantees full localization (every sensor is localized) when the measurements are noise-free. Then we suggest to apply node elimination and topology control (Local Minimum Spanning Tree) to shorten beacon tour and reduce delay. Through simulation we show that DREAMS guarantees full localization even with noisy distance measurements. We evaluate its performance on localization delay and communication overhead in comparison with a previously proposed static path based scheduling method.

show abstract

“…To remove the GPS requirement from each sensor node, there are various localization approaches which have been proposed in literature. These approaches can be classified into two categories, namely range-based scheme [32][33][34][35][36][37][38] and range-free scheme [39][40][41][42][43][44][45][46][47][48][49][50][51][52][53].…”

Section: Localizationmentioning

confidence: 99%

“…To minimize hardware costs for each sensor node, many range-free localization schemes [39][40][41][42][43][44][45][46][47][48][49][50][51][52][53] have been proposed for a resourceconstrained WSN.…”

Section: Range-free Localization Schemementioning

confidence: 99%

“…Studies [43][44][45][46][47][48][49][50][51] employed the area-based localization approach to help sensors get their coordinates. In studies [43][44][45][46][47][48], a mobile anchor being aware of its own location information moves in the monitoring region and periodically broadcasts a beacon with its current coordinates to improve the location accuracy of the nearby sensors.…”

Section: Range-free Localization Schemementioning

confidence: 99%

See 1 more Smart Citation

Enabling Cyber Physical Systems with Wireless Sensor Networking Technologies

Lin

Zeadally

Chen

et al. 2012

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Over the last few years, we have witnessed a growing interest in cyber physical systems (CPSs) that rely on a strong synergy between computational and physical components. CPSs are expected to have a tremendous impact on many critical sectors (such as energy, manufacturing, healthcare, transportation, and aerospace) of the economy. CPSs have the ability to transform the way human-to-human, human-to-object, and object-to-object interactions take place in the physical and virtual worlds. The increasing pervasiveness of wireless sensor networking (WSN) technologies in many applications makes them an important component of emerging CPS designs. We present some of the most important design requirements of CPS architectures. We discuss key sensor network characteristics that can be leveraged in CPS designs. In addition, we also review a few well-known CPS application domains that depend on WSNs in their design architectures and implementations. Finally, we present some of the challenges that still need to be addressed to enable seamless integration of WSN with CPS designs.

show abstract

Adapting Mobile Beacon-Assisted Localization in Wireless Sensor Networks

Cited by 27 publications

References 21 publications

Secure Actor Directed Localization in Wireless Sensor and Actor Networks

Secure Actor Directed Localization in Wireless Sensor and Actor Networks

Mobile-Beacon Assisted Sensor Localization with Dynamic Beacon Mobility Scheduling

Enabling Cyber Physical Systems with Wireless Sensor Networking Technologies

Contact Info

Product

Resources

About