Efficient localization via Middle-node cooperation in wireless sensor networks

Rezazadeh, Javad; Moradi, Marjan; Ismail, Abdul Samad

doi:10.1109/inecce.2011.5953916

Cited by 13 publications

(8 citation statements)

References 7 publications

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“…Localization methods can be represented into four groups: (1) static beacons and static nodes such as the methods proposed in [13,14], (2) static beacons and mobile nodes such as [15], (3) mobile beacons and static nodes [16,17], and (4) mobile beacons and mobile nodes like the method in [18].…”

Section: B Mobile Beacon Trajectorymentioning

confidence: 99%

Transmission Power Adjustment Scheme for Mobile Beacon-Assisted Sensor Localization

Rezazadeh

Moradi

Sandrasegaran

et al. 2019

IEEE Trans. Ind. Inf.

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Localization, as a crucial service for sensor networks, is an energy-demanding process for both indoor and outdoor scenarios. GPSbased localization schemes are infeasible in remote, indoor areas and it is not a cost-effective solution for large-scale networks. Single mobile-beacon architecture is recently considered to localize sensor networks with the aim of removing numerous GPS-equipped nodes. The critical issue for the mobile beacon-assisted localization is to preserve the consumed power to increase the lifetime. This paper presents a novel power control scheme, namely "Z-power", for mobile beacon traveling along a predefined path. The proposed scheme takes the advantage of deterministic path traveled by the single beacon to efficiently adjust the transmission power. Based on the extensive results, the proposed power control scheme could successfully improve the beacon and sensors energy consumption about 25.37% and 34.09%, respectively. A significant energy-accuracy trade off was achieved using Z-power which could successfully keep the same level of accuracy while providing lower energy consumption. Another group of results collected when obstacle-handling algorithm was applied at the presence of obstacles. In this scenario, Z-power improves energy consumption and localization accuracy with the same level of success.

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Section: B Mobile Beacon Trajectorymentioning

confidence: 99%

Transmission Power Adjustment Scheme for Mobile Beacon-Assisted Sensor Localization

Rezazadeh

Moradi

Sandrasegaran

et al. 2019

IEEE Trans. Ind. Inf.

Self Cite

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“…They can be categorized with regards to their features, including distance and angle [38,39]. In addition, rangefree techniques may be categorized through counting the local hop [40]. Likewise, localization methods are categorized into two groups namely anchor/beacon-based or anchor/beacon-free; GPS-based or GPS-free; coarsegrained or fine-grained; and mobile or stationary sensor nodes, among many others [41].…”

Section: Localizationmentioning

confidence: 99%

Indoor navigation systems based on data mining techniques in internet of things: a survey

et al. 2018

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Internet of Things (IoT) is turning into an essential part of daily life, and numerous IoT-based scenarios will be seen in future of modern cities ranging from small indoor situations to huge outdoor environments. In this era, navigation continues to be a crucial element in both outdoor and indoor environments, and many solutions have been provided in both cases. On the other side, recent smart objects have produced a substantial amount of various data which demands sophisticated data mining solutions to cope with them. This paper presents a detailed review of previous studies on using data mining techniques in indoor navigation systems for the loT scenarios. We aim to understand what type of navigation problems exist in different IoT scenarios with a focus on indoor environments and later on we investigate how data mining solutions can provide solutions on those challenges.

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“…In [18], another type of cooperation between intermediate nodes was studied to consummate efficient localization. A new localization algorithm for mobile nodes was established, which uses two techniques to construct localization based on node cooperation.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Billing Scheme for Trusted Nodes Using Fuzzy Logic in Wireless Sensor Networks

Shurman¹,

Alomari²,

Mhaidat³

2014

WET

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Extending the lifetime of the wireless sensor networks (WSNs), where recharging sensors is not always possible, has been a major concern for researchers for the past decade. In this paper, we study the cooperation between nodes in wireless sensor networks in forwarding packets to others, and we propose a new collaboration technique which stimulates intermediate nodes to forward packets toward their destination. Some nodes show selfish behavior by denying the forwarding packets to other nodes in commercial networks in an effort to preserve their own energy. This paper applies a technique which is used to prolong the network lifetime, based on a node's energy and trust value, and additionally incorporates fuzzy logic, which stimulates nodes to forward packets by rewarding cooperation. According to simulation results, the proposed approach surpasses the Nuglets (virtual currency) approach and the Reputation approach in network energy and thus prolongs the network lifetime. Additionally, our proposed approach demonstrates better results in the number of dropped packets, PDR and forwarded packets to neighboring nodes.

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Efficient localization via Middle-node cooperation in wireless sensor networks

Cited by 13 publications

References 7 publications

Transmission Power Adjustment Scheme for Mobile Beacon-Assisted Sensor Localization

Transmission Power Adjustment Scheme for Mobile Beacon-Assisted Sensor Localization

Indoor navigation systems based on data mining techniques in internet of things: a survey

An Efficient Billing Scheme for Trusted Nodes Using Fuzzy Logic in Wireless Sensor Networks

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