A GPS-less, outdoor, self-positioning method for wireless sensor networks

Chu, Hung‐Chi; Jan, Rong‐Hong

doi:10.1016/j.adhoc.2006.03.004

Cited by 51 publications

(58 citation statements)

References 16 publications

(26 reference statements)

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“…The performance of proximity-based localization schemes depends on the positions of the anchor nodes. Intentional deployment of anchor nodes was exploited in [10] to divide the plane into location regions defined by the overlapping regions of sensing ranges of the anchors as shown in Figure 9.3. Instead of broadcasting its own position, an anchor node broadcasts the location regions consisting of its sensing range.…”

Section: Anchor-based Approachesmentioning

confidence: 99%

Algorithmic Aspects of Sensor Localization

Das

Wang

Ghosh

et al. 2010

Monographs in Theoretical Computer Science. An EATCS Series

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Identifying locations of nodes in wireless sensor networks (WSNs) is critical to both network operations and most application level tasks. Sensor nodes equipped with geographical positioning system (GPS) devices are aware of their locations at a precision level of few meters. However, installing GPS devices on a large number of sensor nodes is not only expensive but affects the form factor of these nodes. Moreover, GPS-based localization is not applicable in the indoor environments such as buildings. There exists an extensive body of research literature that aims at obtaining absolute locations as well as relative spatial locations of nodes in a WSN without requiring specialized hardware at large scale. The typical approach consists of employing only a limited number of anchor nodes that are aware of their own locations, and then trying to infer locations of non-anchor nodes using graph theoretic, geometric, statistical, optimization and machine learning techniques. Thus, the literature represents a very rich ensemble of algorithmic techniques applicable to low power, highly distributed nodes with resource-optimal computations. In this chapter we take a close look at the algorithmic aspects of various important localization techniques for WSNs.

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Section: Anchor-based Approachesmentioning

confidence: 99%

Algorithmic Aspects of Sensor Localization

Das

Wang

Ghosh

et al. 2010

Monographs in Theoretical Computer Science. An EATCS Series

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“…One of receivers becomes the forwarding node according to Algorithm 3. As described at line 5 in (6) ⊳ Update the estimated delay using the actual delay (7) else (8) if Packet Rcv == Packet Waiting then (9) ⊳ Waiting in the packet list before forwarding (10) if Mode Trans == 1 then ⊳ Aid from FCS( ) (11) Time Wait = Time Wait /2 (12) else ⊳ Abortion from FWD( ) (13) Delay to End = Delay Trans (14) ⊳ Update the estimated delay using the actual delay (15) AbortPacket (16) end if (17) else …”

Section: Forwarding Decisionmentioning

confidence: 99%

“…According to [17], the energy consumption model is as follows: where elec is the electronics energy, fs 2 is the amplifier energy in the free space and mp 4 is the amplifier energy in the multipath fading channel models, is the data size in bits, is the transmission distance, and 0 is a distance threshold. The simulation parameters are described in Table 1.…”

Section: Simulation Environmentmentioning

confidence: 99%

Power-Aware Data Transmission for Real-Time Communication in Multimedia Sensor Networks

Rhee

Choi

Lee

et al. 2014

International Journal of Distributed Sensor Networks

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The availability of smart sensors equipped CMOS cameras made it possible to capture and transmit multimedia data ubiquitously. The real-time performance is essential in many applications including surveillance and healthcare monitoring in multimedia sensor networks (MSNs). One of the real-time performance indicators is to transmit the packets within their deadline. Furthermore, in information-rich, battery-powered, and resource-constrained MSNs, it is a challenging problem to extend network lifetime decreasing communication cost. In previous researches, periodic message exchange for neighbor information maintenance leads to reducing network lifetime. This paper presents a power-aware data transmission for real-time communication in MSNs. The proposed scheme not only provides real-time performance, but also conserves energy consumption through efficient transmission and without periodic message exchange. The simulation results show the effectiveness of the proposed scheme in achieving the desired deadline success ratio and prolonging the network lifetime.

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“…These nodes are often referred to as anchor nodes or reference nodes. 'Completely GPS Free Localization' [21][22][23][24] or 'Using Very Few Anchor Node' [25,26] are the two types of localization approaches that provide techniques to localize the network in a GPS Less or GPS-Scarce area (LACBER). The GPS-less localization [27] approaches, establish a virtual coordinate system and try to localize the network in that coordinate system.…”

Section: Related Workmentioning

confidence: 99%

A new approach to geographic routing for location aided cluster based MANETs

Mangai¹,

Tamilarasi

2011

J Wireless Com Network

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Routing has been the main challenge for ad hoc networks due to dynamic topology as well as resource constraints. Completely GPS(Global Positioning System) free as well as GPS scarce positioning systems for wireless, mobile, ad-hoc networks has been proposed recently by many authors. High computational overhead and high mobility of the nodes typically require completely GPS enabled MANETs for higher performance. In this article, Improved Location aided Cluster based Routing Protocol (ILCRP) for GPS enabled MANETs has been evaluated for performance metrics such as end to end delay, control overhead, and packet delivery ratio. Use of cluster based routing as well as exact location information of the nodes in ILCRP reduces the control overhead resulting in higher packet delivery ratio. GPS utility in nodes reduces the end to end delay even during its high mobility. Simulations are performed using NS2 by varying the mobility (speed) of nodes as well as number of the nodes. The results illustrate that ILCRP performs better compared to other protocols.

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A GPS-less, outdoor, self-positioning method for wireless sensor networks

Cited by 51 publications

References 16 publications

Algorithmic Aspects of Sensor Localization

Algorithmic Aspects of Sensor Localization

Power-Aware Data Transmission for Real-Time Communication in Multimedia Sensor Networks

A new approach to geographic routing for location aided cluster based MANETs

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