2016 9th IFIP Wireless and Mobile Networking Conference (WMNC) 2016
DOI: 10.1109/wmnc.2016.7543987
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Exploiting redundancy for energy-efficiency in Wireless Sensor Networks

Abstract: Wireless Sensor Networks (WSNs) are used today in many applications that differ in their objectives and specific constraints. The common challenge in designing WSN applications comes from the specific constraints of sensors because of their limited physical resources such as weak computational capability, small memory capacity, and especially limited battery. In this paper, we consider sensor redundancy in WSN and we conduct an experimental study to better highlight the importance of its exploitation. We also … Show more

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Cited by 5 publications
(3 citation statements)
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“…This kind of redundancy can be used in implementing fault tolerant approached to improve the WSN reliability level. Spatial redundancy is drawn by large number of metrics [2], [3]. In [4] authors employed the graph theory and cut sets in order to define the redundancy degree of the wireless sensor network.…”
Section: Related Workmentioning
confidence: 99%
“…This kind of redundancy can be used in implementing fault tolerant approached to improve the WSN reliability level. Spatial redundancy is drawn by large number of metrics [2], [3]. In [4] authors employed the graph theory and cut sets in order to define the redundancy degree of the wireless sensor network.…”
Section: Related Workmentioning
confidence: 99%
“…There can be two types of redundancy: spatial redundancy, when multiple nodes are placed in the same geographic location so as to obtain similar data from multiple sources; or temporal redundancy, when the same node is sending data from multiple successive measurements. If not used in an intelligent way, redundancy wastes energy [31], while if used, it can save more energy than if there was no redundancy at all in the network [32].…”
Section: Redundancy In Topologymentioning
confidence: 99%
“…Keeping this information updated may require extra communication between sensor nodes (as for exchanging routing tables), adding to the communication overhead and to the energy consumption. In [32], a probabilistic model that combines the geographical position of a sensor with its probability to detect an event is used for network partitioning and scheduling; this probability is also used for a fault-tolerance mechanism, in order to ensure that the transmitting node at a time will reliably send its data. Combining this fault mechanism with the network partitioning proves to be more energy effective as the network becomes denser, as a certain node sends data less often, without affecting the reliability of the network.…”
Section: Redundancy In Topologymentioning
confidence: 99%