【摘要】 将contextaware理论融入感知网,有助于解决感知网的自适应问题。为此必须研究面向感知网的适当的context描述和存储机制。该文介绍了一种面向感知网的context存储策略――RBLS。RBLS在节点本地保存context,并根据节点持有的角色动态分配其额外需要的context存储空间。“快照”被用来记录邻居节点的私有context。仿真结果显示RBLS是简单且能源有效的。更多还原

【Abstract】 To addressing the self adaptation problem arises from sensornet, this paper argues that integrating context aware with sensornet is feasible. To build such a context aware sensornet, proper context description and storing mechanisms must be provided. It proposes RBLS, a role based local storage scheme. Aimed at providing context storage support for sensornet, RBLS stores contexts at node’s local space and dynamically allocates extra spaces according to the roles a node holding. A “snapshot” is used by RBLS to record a neighbor’s private contexts. Simulation results reveal that RBLS is simple and energy efficient.更多还原