An Efficient Centralized Localization Method in Wireless Sensor Networks

Shahrokhzadeh, Mohamadreza; Haghighat, Abolfazl Toroghi; Shahrokhzadeh, Behrooz

doi:10.1007/978-3-642-23541-2_25

Cited by 1 publication

(2 citation statements)

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“…In our model, the operations in each sensor node that consumes energy include data transmission, data reception, and position calculation, and the energy consumed for each of these operations is denoted as E s , E r , and E c in which it is widely recognized that E s and E r are normally much higher than E c . The total amount of energy consumed by each sensor node can then be calculated using Formula (14) in which E s and E r can be calculated using formulas (15) and (16), respectively. In all the formulas, k 1 and k 2 denote the number of bits that have been sent and received, respectively, during sensor localization and E 0 denotes energy consumption for sending or receiving a single bit of data.…”

Section: Performance On Energy Consumptionmentioning

confidence: 99%

“…The proposed scheme aims at providing a solution for the localization of sensor nodes in static WSNs. In [14], the authors made some major modifications to improve the performance of the simulated annealing-based localization algorithm to increase localization accuracy. However, this type of localization schemes requires a large number of beacon nodes and involves complicated localization algorithms in order to complete the localization of all unknown sensor nodes in the network.…”

Section: Related Workmentioning

confidence: 99%

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Secure Localization in Wireless Sensor Networks with Mobile Beacons

Zhang

Yuan

2012

International Journal of Distributed Sensor Networks

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We present a scheme, called SLMB, for secure sensor localization in WSNs in which we propose to use a mobile beacon node with the goal of reducing the overall energy consumption in sensor nodes during sensor localization. In the SLMB scheme, a mobile beacon node traverses through the network, collects information from unknown sensor nodes, figures out position relationship with these nodes, and sends the information to the base station where analysis and location calculation is carried out to relieve unknown sensor nodes from energy-consuming computation. The proposed SLMB scheme is also designed to resist wormhole attacks, and localization is developed based on a mathematical model to design a path for the mobile beacon node to traverse in order to cover the entire sensor network. To evaluate our scheme, we have performed simulations to demonstrate that the SLMB scheme can improve the success rate and the accuracy of sensor localization compared to other sensor localization schemes in hostile environments. Our simulation results also show that the SLMB scheme consumes much less energy than traditional distributed sensor localization schemes, which is an important metric in measuring the effectiveness and usefulness of any schemes targeted for applications in WSNs.

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Section: Performance On Energy Consumptionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%