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On redundancy identification in randomly deployed WSNs, another perspective

Damuut, LP and Dongbing Gu, (2013) On redundancy identification in randomly deployed WSNs, another perspective. In: 2013 IEEE Sensors Applications Symposium (SAS), 2013-02-19 - 2013-02-21.

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Redundancy in Wireless Sensor Networks (WSNs) is often considered a positive development to ensure message reinforcement, increased network reliability and fault-tolerance, among many other quality of service (QoS) concerns. In certain applications of WSNs however, the negative impact of redundancy on the network could outweigh the aforementioned positive considerations. Random deployment of sensors inevitably leads to the occurrences of redundancy in the network with serious consequences (e.g., network congestion and energy wastage). In order to address the challenges posed by redundant nodes on the network, it is of prime importance to first of all, identify the redundant nodes from the network. In this paper, the concept of redundancy in wireless sensor networks and its identification are examined. Specifically, we employed the use of a modified version of Low Energy Adaptive Clustering Hierarchy (LEACH) algorithm to identify physically redundant nodes in a randomly deployed wireless sensor network. Simulation results reveal a proportional relationship between redundant nodes and the number of nodes required to keep the network functional. This relationship is equally maintained as the network's lifespan advances (i.e., some nodes begin to die out). © 2013 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2013 IEEE Sensors Applications Symposium, SAS 2013 - Proceedings
Uncontrolled Keywords: redundancy; sensor; node; identification
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 08 Jan 2015 14:05
Last Modified: 23 Sep 2022 18:46

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