This paper describes several optimizations of MAC protocols that can be applied in order to satisfy the constraints that come from a real-life application. Forest fire monitoring requires very different latencies and data sizes, depending on whether it is reporting normal conditions, sending an alarm, or performing network management functions. We use MAC algorithms that extensively shut down the radio in order to save power. We show that by exploiting knowledge about the Link Quality Index and by effectively using the free time of the channel only when there is more data than usual to transmit, we manage to decrease latency and contention and increase bandwidth usage, while keeping power consumption very low.
Energy Optimization at the MAC Layer for a Forest Fire Monitoring Wireless Sensor Network / AL KHATEEB, ANWAR QASIM ABDULMOAMMED; Jun Kyoung, Kim; Lavagno, Luciano; Lazarescu, MIHAI TEODOR. - ELETTRONICO. - (2010), pp. 1-4. (Intervento presentato al convegno 15th IEEE International Conference on Emerging Techonologies and Factory Automation (IETFA2010) tenutosi a Bilbao, Spain nel 13-16 settembre 2010) [10.1109/ETFA.2010.5641130].
Energy Optimization at the MAC Layer for a Forest Fire Monitoring Wireless Sensor Network
AL KHATEEB, ANWAR QASIM ABDULMOAMMED;LAVAGNO, Luciano;LAZARESCU, MIHAI TEODOR
2010
Abstract
This paper describes several optimizations of MAC protocols that can be applied in order to satisfy the constraints that come from a real-life application. Forest fire monitoring requires very different latencies and data sizes, depending on whether it is reporting normal conditions, sending an alarm, or performing network management functions. We use MAC algorithms that extensively shut down the radio in order to save power. We show that by exploiting knowledge about the Link Quality Index and by effectively using the free time of the channel only when there is more data than usual to transmit, we manage to decrease latency and contention and increase bandwidth usage, while keeping power consumption very low.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2379411