Transmission Probability Strategies for Cluster-based Event-Driven Wireless Sensor Networks

摘要：

　　In the literature,it is common to consider that sensor nodes in a clustered-based event-driven Wireless Sensor Network(WSN)use a Carrier Sense Multiple Access(CSMA)protocol with a fixed transmission probability to control data transmission.However,due to the highly variable environment in these networks,a fixed transmission probability may lead to extra energy consumption.In view of this,three different transmission probability strategies for event-driven WSNs are studied: optimal,fixed and adaptive.As expected,the optimum strategy achieves the best results in terms of energy consumption but its implementation in a practical system is not feasible.The commonly used fixed transmission strategy is the simplest but does not adapt to changes in the systems conditions and achieves the worst performance.In the paper,we find that the adaptive transmission strategy,pretty easy to implement,achieves results very close to the optimal one.The three strategies are analyzed in terms of energy consumption,and cluster formation latency.

关键词： Transmission probability clustering event-driven WSNs

作者: Mario E.Rivero-Angeles Gerardo Rubino

作者单位: Instituto Politécnico Nacional-(CIC-IPN),Mexico City,Mexico INRIA Rennes-Bretagne Atlantique,Campus universitaire de Beaulieu,35042 Rennes Cedex,France

会议类型: 国际会议

会议名称: 第九届网络分布式计算与知识发现国际会议( 2017 International Conference on Cyber-enabled distributed computing and knowledge discovery)

会议地点: 南京

会议语种:英文

页码: 416-419

在线出版日期: 2017-10-12（万方平台首次上网日期，不代表论文的发表时间）