NDLI: Adaptability and Stability in Dynamic Integration of Body Sensor Networks with Clouds

Content Provider	IEEE Xplore Digital Library
Author	Yi Cheng Ren Suzuki, J. Omura, S. Hosoya, R.
Copyright Year	2015
Description	Author affiliation: OGIS Int., Inc., San Mateo, CA, USA (Omura, S.; Hosoya, R.) \|\| Univ. of Massachusetts, Boston, MA, USA (Yi Cheng Ren; Suzuki, J.)
Abstract	This paper considers a multi-tier architecture for cloud-integrated body sensor networks (BSNs), called Body-in-the-Cloud (BitC), which is designed for home healthcare with on-body physiological and activity monitoring sensors. This paper formulates an optimization problem to integrate BSNs with a cloud in BitC and approaches the problem with an evolutionary game theoretic algorithm. BitC allows BSNs to adapt their configurations (i.e., sensing intervals) to operational conditions (e.g., data request patterns) with respect to multiple performance objectives such as resource consumption and data yield. BitC theoretically guarantees that each BSN performs an evolutionarily stable configuration strategy, which is an equilibrium solution under given operational conditions. Simulation results verify this theoretical analysis; BSNs seek equilibria to perform adaptive and evolutionarily stable configuration strategies under dynamic changes of operational conditions. BitC outperforms NSGA-III in optimality, stability, convergence speed and execution time.
Starting Page	98
Ending Page	105
File Size	1202011
Page Count	8
File Format	PDF
e-ISBN	9781509018499
DOI	10.1109/NCA.2015.53
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensors Cloud computing Optimization Stability analysis Data communication Bandwidth Energy consumption Evolutionary algorithms Body sensor networks Multiobjective optimization
Content Type	Text
Resource Type	Article

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