Harvesting aware energy management for time-critical wireless sensor networks with joint voltage and modulation scaling

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HARVESTING-AWARE ENERGY MANAGEMENT FOR TIME-CRITICAL WIRELES
SENSOR NETWORKS WITH JOINT VOLTAGE AND MODULATION SCALING
ABSTRACT:
As Cyber-Physical-Systems (CPSs) evolve they will be increasingly relied on to support time-
critical and performance- intensive monitoring and control activities. Further, many CPSs that
utilize Wireless Sensor Networking (WSN) technologies will require the use of energy
harvesting methods to extend their lifetimes. For this application class, there are currently few
algorithmic techniques that combine performance sensitive processing and communication with
efficient management techniques for energy harvesting. We first propose a general purpose,
multihop WSN architecture capable of supporting time-critical CPS systems using energy
harvesting.
We then present a set of Harvesting Aware Speed Selection (HASS) algorithms. Our technique
maximizes the minimum energy reserve for all the nodes in the network, thus ensuring highly
resilient performance under emergency or fault-driven situations. We present an optimal
centralized solution, along with an efficient, distributed solution. We propose a CPS-specific
experimental methodology, enabling us to evaluate our approach. Our experiments show that our
algorithms yield significantly higher energy reserves than baseline methods.
ECWAY TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE
CELL: +91 98949 17187, +91 875487 2111 / 3111 / 4111 / 5111 / 6111
VISIT: www.ecwayprojects.com MAIL TO: ecwaytechnologies@gmail.com

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Harvesting aware energy management for time-critical wireless sensor networks with joint voltage and modulation scaling

1. HARVESTING-AWARE ENERGY MANAGEMENT FOR TIME-CRITICAL WIRELES SENSOR NETWORKS WITH JOINT VOLTAGE AND MODULATION SCALING ABSTRACT: As Cyber-Physical-Systems (CPSs) evolve they will be increasingly relied on to support time- critical and performance- intensive monitoring and control activities. Further, many CPSs that utilize Wireless Sensor Networking (WSN) technologies will require the use of energy harvesting methods to extend their lifetimes. For this application class, there are currently few algorithmic techniques that combine performance sensitive processing and communication with efficient management techniques for energy harvesting. We first propose a general purpose, multihop WSN architecture capable of supporting time-critical CPS systems using energy harvesting. We then present a set of Harvesting Aware Speed Selection (HASS) algorithms. Our technique maximizes the minimum energy reserve for all the nodes in the network, thus ensuring highly resilient performance under emergency or fault-driven situations. We present an optimal centralized solution, along with an efficient, distributed solution. We propose a CPS-specific experimental methodology, enabling us to evaluate our approach. Our experiments show that our algorithms yield significantly higher energy reserves than baseline methods. ECWAY TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE CELL: +91 98949 17187, +91 875487 2111 / 3111 / 4111 / 5111 / 6111 VISIT: www.ecwayprojects.com MAIL TO: ecwaytechnologies@gmail.com

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