Lightweight Reprogramming and Energy Balancing in Wireless Sensor Networks

Reprogramming in wireless sensor networks is important and challenged by the dynamic environment and its own characteristic, frequently sleeping. Although there has existed various approaches, they still suffer from message control redundancy and energy balancing issues. In this paper, we consider t...

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Main Authors: Dinh-Sy Do, Younghan Kim
Format: Article
Language:English
Published: Wiley 2015-08-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/931029
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author Dinh-Sy Do
Younghan Kim
author_facet Dinh-Sy Do
Younghan Kim
author_sort Dinh-Sy Do
collection DOAJ
description Reprogramming in wireless sensor networks is important and challenged by the dynamic environment and its own characteristic, frequently sleeping. Although there has existed various approaches, they still suffer from message control redundancy and energy balancing issues. In this paper, we consider the problem of lightweight code distribution and energy balancing in wireless sensor networks by utilizing shared requests to reduce redundant control messages. Additionally, our contribution is enhanced by various solutions, such as multisegment advertisement strategy and edge-oriented strategy. Through analysis and evaluation sections, we confirm that our protocol does not only help to reduce update completion time by 1/3 compared with the Deluge protocol, but also significantly decreases redundant control messages and balances energy consumption among nodes in the updating process.
format Article
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institution Kabale University
issn 1550-1477
language English
publishDate 2015-08-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-e5ab3cb5e697420787c0cac7b633c1dd2025-08-20T03:26:16ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-08-011110.1155/2015/931029931029Lightweight Reprogramming and Energy Balancing in Wireless Sensor NetworksDinh-Sy DoYounghan KimReprogramming in wireless sensor networks is important and challenged by the dynamic environment and its own characteristic, frequently sleeping. Although there has existed various approaches, they still suffer from message control redundancy and energy balancing issues. In this paper, we consider the problem of lightweight code distribution and energy balancing in wireless sensor networks by utilizing shared requests to reduce redundant control messages. Additionally, our contribution is enhanced by various solutions, such as multisegment advertisement strategy and edge-oriented strategy. Through analysis and evaluation sections, we confirm that our protocol does not only help to reduce update completion time by 1/3 compared with the Deluge protocol, but also significantly decreases redundant control messages and balances energy consumption among nodes in the updating process.https://doi.org/10.1155/2015/931029
spellingShingle Dinh-Sy Do
Younghan Kim
Lightweight Reprogramming and Energy Balancing in Wireless Sensor Networks
International Journal of Distributed Sensor Networks
title Lightweight Reprogramming and Energy Balancing in Wireless Sensor Networks
title_full Lightweight Reprogramming and Energy Balancing in Wireless Sensor Networks
title_fullStr Lightweight Reprogramming and Energy Balancing in Wireless Sensor Networks
title_full_unstemmed Lightweight Reprogramming and Energy Balancing in Wireless Sensor Networks
title_short Lightweight Reprogramming and Energy Balancing in Wireless Sensor Networks
title_sort lightweight reprogramming and energy balancing in wireless sensor networks
url https://doi.org/10.1155/2015/931029
work_keys_str_mv AT dinhsydo lightweightreprogrammingandenergybalancinginwirelesssensornetworks
AT younghankim lightweightreprogrammingandenergybalancinginwirelesssensornetworks