Modeling the energy performance of object tracking in Wireless Sensor Network using dual-sink

Chen, Jiehui; Salim, Mariam B.; Matsumoto, Mitsuji

doi:10.1109/apcc.2010.5679766

Cited by 4 publications

(1 citation statement)

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“…Their analytical results show that a mobile cluster applied to the vehicle can perform data transmission using less power than direct communication applied to the vehicle. In [14], they explore an optimal barrier coveragebased sensor deployment for object tracking wireless sensor networks where a dual-sink model was designed to evaluate the energy performance of all the static sensors, static sink, and mobile sink simultaneously. Reference [15] gives a distributed target localization and pursuit scheme based on discrete measurements of the energy intensity field produced by mobile targets.…”

Section: Related Workmentioning

confidence: 99%

An Probability-Based Energy Model on Cache Coherence Protocol with Mobile Sensor Network

Wang

Guo

Qiu

2013

International Journal of Distributed Sensor Networks

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Mobile sensor networks (MSNs) are widely used in various domains to monitor, record, compute, and interact the information within an environment. To prolong the life time of each node in MSNs, energy model and conservation should be considered carefully when designing the data communication mechanism in the network. The limited battery volume and high workload on channels worsen the life times of the busy nodes. In this paper, we propose a new energy evaluating methodology of packet transmissions in MSNs, which is based on redividing network layers and describing the synchronous data flow with matrix form. We first introduce the cache coherence layer to the protocol stack of MSNs. Then, we use a set of energy probability matrices to describe and calculate the energy consumption of each state in the protocol. After that, based on our energy model, we will give out an energy evaluating method of the MSNs design, which is suitable for measuring and comparing the energy consumption from different implements of hardware/software. Our experimental results show that our approach achieves a precision with less than 2% error and provides a credible quantitative criterion for energy optimization of data communication in MSNs.

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Section: Related Workmentioning

confidence: 99%