Current and future trends in sensor networks: a survey

Abstract-Ultra wideband radio (UWB) is a promising technology that offers exceptional data rates for short range communication. This paper presents the analysis of the IEEE 802.15.4a UWB physical layer (PHY), a novel short range wireless communication technology, for wireless sensor network (WSN) applications. We analysed and compared the performance of the UWB PHY using the MIXIM framework for a discrete event based simulator called OMNeT++. In this context, we present the simulation and implementation of line of sight (LOS) and non line of sight (NLOS) channel models with a variety of configurations such as data rates, bandwidth and forward error correction. An analysis on bit error rate (BER) over distance will be discussed in order to evaluate the channels performance. The results will serve as a base for future studies on deploying IEEE 802.15.4a based sensor networks with specific characteristics.

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“…UWB has a huge potential in wireless platforms that support a variety applications such as [1]- [3] :…”

Section: Principles Of Uwbmentioning

confidence: 99%

“…A comprehensive survey of literature indicates that the UWB appears to be a promising technology for future wireless communication technology due to its significant characteristics [1]- [3]. Furthermore, a research has been done to evaluate performance of IEEE 802.15.4a models based on MATLAB.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the IEEE 802.15.4a UWB physical layer for WSN applications

Saadon

Abdullah

Ismail

2013

2013 IEEE Symposium on Wireless Technology &Amp; Applications (ISWTA)

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“…The batteries in sensor networks may not be rechargeable, thus, we cannot recharge or replace the batteries if sensor nodes use excessive computational resources to process the data. Sensor networks are constrained in resource compared to Ad Hoc and cellular networks (Aboelaze & Aloul, 2005). A typical sensor node such as MICA has an 8 MHz microprocessor, 128 KB program flash memories and 512 KB serial flash memories (Technology, n.d.).…”

Section: Intrusion Detection System In Wireless Networkmentioning

confidence: 99%

Lightweight Intrusion Detection for Wireless Sensor Networks

Huh¹,

Hai²

2011

Intrusion Detection Systems

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“…Moreover, if deployment of small, cheap SNs is done on a large scale then it will lead to node failure due to fabrication defects and due to which occurrence of faults in SNs will be quite common. Thus, it is quite essential to identify and trace out the faulty SNs in the network, and exclude them before routine operation as they can be used as typical sensing nodes [3,4].…”

Section: Introductionmentioning

confidence: 99%

Neighbor Co-ordination based Fault Node Detection Algorithm for Distributed Wireless Sensor Networks

Shukla¹,

Panda²

2017

IJERT

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Abstract-In this paper a neighbor coordination approach based fault node detection technique for distributed wireless sensor networks (WSNs) is presented. Because of large deviation in incorrect data transmitted by various faulty sensor nodes(SNs), the statistical based approach of fault detection using mean, mode, median and other hypothetical test based schemes becomes inappropriate for large scale distributed WSNs. This research concentrates on fault node identification in distributed WSNs where the neighboring nodes attempt to identify the faulty SN through comparing their sensed data with all of their neighbor's data. The main aim of this study is to design a less complex fault node detection algorithm, which can easily detect faulty sensor nodes present in distributed WSNs by using a neighbor coordination approach based fault node detection technique. The simulation results show the proposed algorithm is effective in terms of performance measures like detection accuracy, false alarm rate and false positive rate which are far better in than conventional methods used to detect the faulty SNs in WSNs.

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Current and future trends in sensor networks: a survey

Abstract: Abstract

Cited by 59 publications

References 22 publications

Evaluating the IEEE 802.15.4a UWB physical layer for WSN applications

Evaluating the IEEE 802.15.4a UWB physical layer for WSN applications

Lightweight Intrusion Detection for Wireless Sensor Networks

Neighbor Co-ordination based Fault Node Detection Algorithm for Distributed Wireless Sensor Networks

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