An Efficient Data-Gathering Scheme for Heterogeneous Sensor Networks via Mobile Sinks

Typical Wireless Sensor Networks (WSNs) use static sinks to collect data from all sensor nodes via multihop forwarding. This results in the hot spot problem since the nodes close to the sink have a tendency to consume more energy in relaying data from other nodes. Many approaches using mobile sinks...

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Main Authors: Po-Liang Lin, Ren-Song Ko
Format: Article
Language:English
Published: Wiley 2011-09-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2012/296296
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author Po-Liang Lin
Ren-Song Ko
author_facet Po-Liang Lin
Ren-Song Ko
author_sort Po-Liang Lin
collection DOAJ
description Typical Wireless Sensor Networks (WSNs) use static sinks to collect data from all sensor nodes via multihop forwarding. This results in the hot spot problem since the nodes close to the sink have a tendency to consume more energy in relaying data from other nodes. Many approaches using mobile sinks have been proposed to prevent this problem, but these approaches still suffer from the buffer overflow problem due to the limited memory capacity of the sensor nodes. This paper proposes an approach in which the mobile sink traverses a subset of nodes. Given the characteristics of wireless communication, such an approach can effectively alleviate the buffer overflow problem without incurring additional energy consumption. To further alleviate the buffer overflow problem, we propose the Allotment Mechanism which allows nodes with different data sampling rates to share their memory and, thus, extend the overflow deadline. Finally, the effectiveness of the proposed approach is verified via the GloMoSim network simulator. The results show that our approach incurs fewer buffer overflows than other data-gathering schemes.
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spelling doaj-art-fed6f21171ce4b6ba6bda11f9ec01fe32025-08-20T02:22:45ZengWileyInternational Journal of Distributed Sensor Networks1550-14772011-09-01810.1155/2012/296296296296An Efficient Data-Gathering Scheme for Heterogeneous Sensor Networks via Mobile SinksPo-Liang LinRen-Song KoTypical Wireless Sensor Networks (WSNs) use static sinks to collect data from all sensor nodes via multihop forwarding. This results in the hot spot problem since the nodes close to the sink have a tendency to consume more energy in relaying data from other nodes. Many approaches using mobile sinks have been proposed to prevent this problem, but these approaches still suffer from the buffer overflow problem due to the limited memory capacity of the sensor nodes. This paper proposes an approach in which the mobile sink traverses a subset of nodes. Given the characteristics of wireless communication, such an approach can effectively alleviate the buffer overflow problem without incurring additional energy consumption. To further alleviate the buffer overflow problem, we propose the Allotment Mechanism which allows nodes with different data sampling rates to share their memory and, thus, extend the overflow deadline. Finally, the effectiveness of the proposed approach is verified via the GloMoSim network simulator. The results show that our approach incurs fewer buffer overflows than other data-gathering schemes.https://doi.org/10.1155/2012/296296
spellingShingle Po-Liang Lin
Ren-Song Ko
An Efficient Data-Gathering Scheme for Heterogeneous Sensor Networks via Mobile Sinks
International Journal of Distributed Sensor Networks
title An Efficient Data-Gathering Scheme for Heterogeneous Sensor Networks via Mobile Sinks
title_full An Efficient Data-Gathering Scheme for Heterogeneous Sensor Networks via Mobile Sinks
title_fullStr An Efficient Data-Gathering Scheme for Heterogeneous Sensor Networks via Mobile Sinks
title_full_unstemmed An Efficient Data-Gathering Scheme for Heterogeneous Sensor Networks via Mobile Sinks
title_short An Efficient Data-Gathering Scheme for Heterogeneous Sensor Networks via Mobile Sinks
title_sort efficient data gathering scheme for heterogeneous sensor networks via mobile sinks
url https://doi.org/10.1155/2012/296296
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