Attribute-based clustering for information dissemination in wireless sensor networks
Ke Wang, S. Ayyash, Thomas D. C. Little, Priyasha Basu · 2005
Abstract – Data routing in large wireless sensor networks is challenged by requirements for scalability, robustness, and energy use, as well as the possibility that globally unique identifiers for each node are nonexistent. Moreover, if the sensor network serves multiple functions or users, its routing function must be energy efficient when responding to information requests (inquiries) that can arrive at high rates, require diverse data types, and target subsets of the sensor network. We propose virtual “containment ” hierarchies based on relevant attributes as a more efficient mechanism to disseminate inquiries rather than the use of flooding schemes. We show algorithms that support clustering sensors according to these hierarchies and implement clusterhead failure recovery and load balancing among cluster members. We show that our framework has significant bandwidth gains over a flooding-based scheme under the scenario considered using analytical techniques.