LUMM: Local Update-based geographic Multicasting for Mobile sinks

Typical multicasting saves efficiently both bandwidth and energy in static wireless sensor networks. Such benefits make the research of multicast which is a transmission from a data source to multiple destinations (sinks), actively. Most of these researches focused on the way how to make efficient multicast tree only, they are weak for supporting mobile sinks. In practical applications, sinks move around and collect information from a sensor field. If the mobile sinks apply to these approaches, frequent entire multicast tree reconstructions are needed to support mobile sinks. Unfortunately, it leads to exhaustion of sensors´ limited power supply, consequently it reduces whole network lifetime. In this paper, we propose an energy-efficient multicast protocol to support multiple mobile sinks by the local multicast tree reconstruction, called Local Updated-based geographic Multicasting for Mobile sinks (LUMM) for wireless sensor networks. A value of BOD (benefit of distance) used a standard from a local multicast tree reconstruction with minimal overhead. Our simulation results show that LUMM support the mobility of sinks efficiently.