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Channel allocation strategies for wireless sensors statically deployed in multipath environments

Published: 19 April 2006 Publication History

Abstract

This work presents several channel allocation strategies that utilize in situ fading measurements obtained from node RSSI data. The strategies take advantage of current frequency agile radio designs and consider both single and multiple frequency allocations along with nodal connectivity requirements. The techniques are demonstrated on real-world data for an in-vehicle wireless sensor application. The hardware platform utilized is MicroStrain's V-Link wireless sensors along with a MicroStrain USB Base Station, configured for operation in the 902-928 MHz frequency band. The key contributions of the work are twofold. First, the developed strategies are computationally simple and thus can be implemented on existing node microcontrollers. Second, the fading measurement methodology utilizes the sensor nodes themselves to effectively provide distributed scalar, network analyzer functionality. This technique is referred to as wireless sensors, sensing wireless (WSSW).

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          cover image ACM Conferences
          IPSN '06: Proceedings of the 5th international conference on Information processing in sensor networks
          April 2006
          514 pages
          ISBN:1595933344
          DOI:10.1145/1127777
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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          Publication History

          Published: 19 April 2006

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          Author Tags

          1. link optimization
          2. multipath fading
          3. wireless sensor networks

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          View all
          • (2015)Multichannel assignment protocols in wireless sensor networksPervasive and Mobile Computing10.1016/j.pmcj.2014.04.00416:PA(2-21)Online publication date: 1-Jan-2015
          • (2013)mTOSSIM: A simulator that estimates battery lifetime in wireless sensor networksSimulation Modelling Practice and Theory10.1016/j.simpat.2012.10.00931(39-51)Online publication date: Feb-2013
          • (2012)Short-range and near ground propagation model for wireless sensor networks2012 IEEE Student Conference on Research and Development (SCOReD)10.1109/SCOReD.2012.6518624(124-128)Online publication date: Dec-2012
          • (2009)Frequency Scanning Using Software Defined Radio for Localised Range EstimationProceedings of the 2009 Third International Conference on Sensor Technologies and Applications10.1109/SENSORCOMM.2009.37(181-186)Online publication date: 18-Jun-2009
          • (2007)Wireless sensors, sensing wireless (WSSW) for the characterization of multipath fadingProceedings of the 6th international conference on Information processing in sensor networks10.1145/1236360.1236445(571-572)Online publication date: 25-Apr-2007
          • (2007)Coexistence Performance Evaluation of IEEE 802.15.4 Under IEEE 802.11B Interference in Fading Channels2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications10.1109/PIMRC.2007.4394630(1-5)Online publication date: Sep-2007
          • (2007)Wireless Sensors, Sensing Wireless (WSSW) for the Characterization of Multipath Fading2007 6th International Symposium on Information Processing in Sensor Networks10.1109/IPSN.2007.4379731(571-572)Online publication date: Apr-2007
          • (2007)Severely Fading MIMO Channels: Models and Mutual Information2007 IEEE International Conference on Communications10.1109/ICC.2007.764(4628-4633)Online publication date: Jun-2007

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