Efficiently self organizing a network hierarchy with specific
assignment of roles (or tasks) to sensors based on their physical
wireless connectivity and sensing characteristics is an important
and challenging problem. In this paper, we extend the
hierarchical connected dominating set (CDS) construction
algorithm, proposed by Jie Wu, to develop our role-based
hierarchical self organization algorithm for wireless sensor
networks. The resulting self organized sensor network establishes
a network-wide infrastructure consisting of a hierarchy of
backbone nodes, and sensing zones that include sensor
coordinators, and sensing collaborators (or sensing zone members).
Our paper identifies the need for organizing a sensor network
according to the tasks appropriate for each sensor node based on
their initial deployment in the network. Past research in
group-based (or hierarchical) sensor networks have ignored the
possibility of utilizing both the physical communication and
sensing characteristics to assign roles to sensor nodes. We demonstrate the effectiveness of our design, which considers
both, through simulations.
Keywords: Sensor networks, self organization hierarchy, sensing
coordinators, sensing zones, backbone nodes, sensing proximity
value (SPV), cumulative sensing degree (CSD),
and connected dominating set (CDS).
see full paper and WSNA'2003 presentation.