6533b7d5fe1ef96bd12649bd
RESEARCH PRODUCT
Serial In-network Processing for Large Stationary Wireless Sensor Networks
Azzedine BoukercheAhmed MostefaouiMohammed Amine Merzougsubject
ScheduleVisual sensor networkbusiness.industryComputer science020206 networking & telecommunications02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation020202 computer hardware & architectureSerial memory processing[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingKey distribution in wireless sensor networks[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR][INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Sensor nodeScalability0202 electrical engineering electronic engineering information engineeringMobile wireless sensor network[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessWireless sensor networkComputer networkdescription
International audience; In wireless sensor networks, a serial processing algorithm browses nodes one by one and can perform different tasks such as: creating a schedule among nodes, querying or gathering data from nodes, supplying nodes with data, etc. Apart from the fact thatserial algorithms totally avoid collisions, numerous recent works have confirmed that these algorithms reduce communications andconsiderably save energy and time in large-dense networks. Yet, due to the path construction complexity, the proposed algorithmsare not optimal and their performances can be further enhanced. To do so, in the present paper, we propose a new serial processing algorithm that, in most of the cases, approximates the optimal number of hops (i.e., it requires n − 1 communications to traverse a network of n nodes). The extensive OMNeT++ simulations confirm the outperformance and efficiency of the proposal in terms of scalability and energy/time consumption.
year | journal | country | edition | language |
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2017-11-21 |