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Enhancing Energy Efficiency in Sensor/Ad-Hoc Networks Through Dynamic Sleep Scheduling


Affiliations
1 Department of Biomedical Engineering, Nandha Engineering College, India
2 Department of Computer Science and Engineering, Amity University, Raipur, India
3 Department of Computer Engineering, A.P. Shah Institute of Technology, India
4 Department of Computer Science, College of Computer Science and Information Technology, Jazan University, Saudi Arabia
     

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Enhancing energy efficiency is a pivotal concern in sensor/ad-hoc networks, where devices are often constrained by limited power sources. Dynamic sleep scheduling emerges as a promising strategy to mitigate energy wastage and prolong network longevity. This approach involves orchestrating nodes to periodically transition between active and low-power sleep modes, aligning with data transmission requirements. Dynamic sleep scheduling optimizes energy usage, curbing the power-hungry nature of constant operation. This abstract explores the core concepts and applications of dynamic sleep scheduling, emphasizing its role in addressing the unique energy challenges encountered in sensor/ad-hoc networks. The benefits of dynamic sleep scheduling include extending network lifespan, minimizing interference, and promoting energy balance among nodes. Nevertheless, it also presents challenges like adapting to network dynamics, striking the right balance between energy savings and latency, and ensuring effective coordination among nodes. Various algorithms, including TDMA and LEACH, underpin dynamic sleep scheduling, with ongoing research driving advancements. These networks find application in environmental monitoring, disaster management, and industrial automation, among others.

Keywords

Dynamic Sleep Scheduling, Sensor Networks, Ad-Hoc Networks, Energy Efficiency, Network Longevity.
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  • Enhancing Energy Efficiency in Sensor/Ad-Hoc Networks Through Dynamic Sleep Scheduling

Abstract Views: 141  |  PDF Views: 1

Authors

M. Dhipa
Department of Biomedical Engineering, Nandha Engineering College, India
Nisha Rathore
Department of Computer Science and Engineering, Amity University, Raipur, India
Pravin Prakash Adivarekar
Department of Computer Engineering, A.P. Shah Institute of Technology, India
Shams Tabrez Siddiqui
Department of Computer Science, College of Computer Science and Information Technology, Jazan University, Saudi Arabia

Abstract


Enhancing energy efficiency is a pivotal concern in sensor/ad-hoc networks, where devices are often constrained by limited power sources. Dynamic sleep scheduling emerges as a promising strategy to mitigate energy wastage and prolong network longevity. This approach involves orchestrating nodes to periodically transition between active and low-power sleep modes, aligning with data transmission requirements. Dynamic sleep scheduling optimizes energy usage, curbing the power-hungry nature of constant operation. This abstract explores the core concepts and applications of dynamic sleep scheduling, emphasizing its role in addressing the unique energy challenges encountered in sensor/ad-hoc networks. The benefits of dynamic sleep scheduling include extending network lifespan, minimizing interference, and promoting energy balance among nodes. Nevertheless, it also presents challenges like adapting to network dynamics, striking the right balance between energy savings and latency, and ensuring effective coordination among nodes. Various algorithms, including TDMA and LEACH, underpin dynamic sleep scheduling, with ongoing research driving advancements. These networks find application in environmental monitoring, disaster management, and industrial automation, among others.

Keywords


Dynamic Sleep Scheduling, Sensor Networks, Ad-Hoc Networks, Energy Efficiency, Network Longevity.

References