Probabilistic path selection in wireless sensor networks with controlled mobility

Zhang, Xiwei; Zhang, Lili; Chen, Guihai; Zou, Xia

doi:10.1109/wcsp.2009.5371612

Cited by 6 publications

(11 citation statements)

References 10 publications

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“…There is an extensive range of literature studying the use of mobile BS for data gathering [4,5,[9][10][11][12][13][14][15]. Kansal et al [12] combine multihop forwarding with a mobile BS.…”

Section: Related Workmentioning

confidence: 99%

“…Grouping sensor nodes in the sensing field into clusters and collecting data from cluster heads are proposed in [13][14][15]. Ma and Yang [13] proposed a heuristic for finding routing paths for the mobile BS, which assumes that the moving path of the mobile BS consists of a series of line segments.…”

Section: Related Workmentioning

confidence: 99%

“…However, this work does not consider data gathering delay for the mobile BS. Zhang et al [15] extended the work in [16] and regarded cluster heads as the rendezvous point. They considered event based data gathering and proposed reduction in data gathering delay by only allowing the mobile BS to visit cluster heads that generate new data.…”

Section: Related Workmentioning

confidence: 99%

“…← set of nodes in (V , V ) not in ; (15) if is not empty then (16) Flag ← true ; (17) = NRA( , ) ; / * call Node Removal Algorithm * / ← ∪ ; (18) if Flag= false then (19) if V selected as then (20) =index of tree rooted on if is not empty then (13) for each tree index in do (14) get ← number of trees in ; (5) Find the farthest leave vertex V from using ; (6) Find the routing path…”

Section: Farthest Node First-bounded Hop Algorithm (Fnf-bha)mentioning

confidence: 99%

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Delay Tolerance and Energy Saving in Wireless Sensor Networks with a Mobile Base Station

Jerew

Bassam

2019

Wireless Communications and Mobile Computing

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Recent research shows that significant energy saving can be achieved in wireless sensor networks by using mobile devices. A mobile device roams sensing fields and collects data from sensors through a short transmission range. Multihop communication is used to improve data gathering by reducing the tour length of the mobile device. In this paper we study the trade-off between energy saving and data gathering latency in wireless sensor networks. In particular, we examine the balance between the relay hop count and the tour length of a mobile Base Station (BS). We propose two heuristic algorithms, Adjacent Tree-Bounded Hop Algorithm (AT-BHA) and Farthest Node First-Bounded Hop Algorithm (FNF-BHA), to reduce energy consumption of sensor nodes. The proposed algorithms select groups of Collection Trees (CTs) and a subset of Collection Location (CL) sensor nodes to buffer and forward data to the mobile BS when it arrives. Each CL node receives sensing data from its CT nodes within bounded hop count. Extensive experiments by simulation are conducted to evaluate the performance of the proposed algorithms against another heuristic. We demonstrate that the proposed algorithms outperform the existing work with the mean of the length of mobile BS tour.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Farthest Node First-bounded Hop Algorithm (Fnf-bha)mentioning

confidence: 99%

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Delay Tolerance and Energy Saving in Wireless Sensor Networks with a Mobile Base Station

Jerew

Bassam

2019

Wireless Communications and Mobile Computing

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“…The DSS involves a rule-based decision approach based on referenced mathematical models applied to the information gathered by a sensor network. In the work of Zhang et al, 26 a heuristic algorithm for path selection for WSN is designed. In this model, a fuzzy logic controller is employed within each sensor node.…”

Section: Related Workmentioning

confidence: 99%

A multisensor data fusion strategy for path selection in Internet‐of‐Things oriented wireless sensor network (WSN)

Kumar

Chaurasiya

2018

Concurrency and Computation

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To give the complete description of an environment or to take a robust decision, a number of observations are collected and combined from multiple sensor nodes. The process of combining and analyzing the observations is called multisensor data fusion. The fusion is used to produce more consistent, accurate, and useful information rather than provided by any individual sensor node. Data fusion finds wide application in many areas of such as object recognition, wireless sensor network, image processing, environment mapping, and localization. Nowadays, the Internet of Things (IoT) utilizes wireless sensor network (WSN) as a necessary platform for data sensing and communication. For efficiency, data fusion is performed on the sensed sample collected by the sensor nodes. However, fusion of the network parameters is also essential to select an appropriate sensor node for the forwarding of data. Therefore, in this paper, we propose a multisensor data fusion (MDF) strategy that performs fusion of the collected network parameters like bandwidth and centrality for the selection of an appropriate path. Extensive simulations were made, and related results showed that our proposed scheme has a better performance compared with other schemes in our simulated scenarios. KEYWORDS data fusion, Internet-of-Things, performance analysis, wireless sensor network INTRODUCTIONA wireless sensor network (WSN) is a type of network that contains large number of nodes having sensing capability such that they can easily detect any changes in the surrounding real-world environment. The nodes in WSN are used to carry sensed information from one to another desired location for further processing. 1,2 Technological advances are being developed daily, and a WSN plays a rapid contribution for providing smart communication with the use of smart devices. These smart devices perform communication at the different locations by providing a level of transparency among users and maintained an interconnected smart network. A number of sensor nodes are constituted by the smart network, which is used to send sensed information and termed as the Internet of Things (IoT). 3 In this paper, we called this network as an IoT oriented WSN. In this network, the users communicate with each other by exchanging of sensed data, monitoring of events, and surrounding and reacting autonomously. 4 The difference between the WSN and IoT oriented WSN is only the few sensors are deployed in WSN rather than along with smart devices for applications.However, the IoT oriented WSN consists of devices having sensors with full network connectivity. The network of IoT oriented WSN is concerned with the loss of packets and performance of the links for achieving high throughput in less delay.The services of IoT oriented WSN are provided by using a standard interface such that users can create a query, retrieve information, and change their states accordingly. An Internet link is used to provide the standard interface between users and IoT devices. The hardware components of a sensor no...

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Probabilistic Path Selection in Mobile Wireless Sensor Networks for Stochastic Events Detection

Zhang

Jia²

2011

Ubiquitous Intelligence and Computing

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Probabilistic path selection in wireless sensor networks with controlled mobility

Cited by 6 publications

References 10 publications

Delay Tolerance and Energy Saving in Wireless Sensor Networks with a Mobile Base Station

Delay Tolerance and Energy Saving in Wireless Sensor Networks with a Mobile Base Station

A multisensor data fusion strategy for path selection in Internet‐of‐Things oriented wireless sensor network (WSN)

Probabilistic Path Selection in Mobile Wireless Sensor Networks for Stochastic Events Detection

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