Off-Network Control Processing for Scalable Routing

In this book we investigate two problems concerning
wireless sensor networks: (A) energy efficient medium
access control and (B) scalable routing architecture
for very large wireless sensor networks. Regarding to
the first problem , we propose a Self Reorganizing
Slot Allocation (SRSA) mechanism for a TDMA-based
medium access control (MAC) protocol. The primary
contribution is to demonstrate that with adaptive
slot allocation algorithms, it is possible to
minimize such interference under low traffic loading
conditions. The second contribution is to design a
feedback-based adaptive allocation protocol that can
minimize those interferences without relying on any
global synchronization mechanism. In the second
problem, we develop a routing solution Off-Network
Control Processing (ONCP) for sensor networks. A
tiered hybrid routing approach, consisting of coarse
grain server-based global routing, and distributed fine grain local routing is proposed for achieving
scalability by avoiding network-wide control message
dissemination. We present the ONCP architectural
concepts and analytically characterize its
performance in relations to both flat and
hierarchical routing architectures.

Autorentext

Tao Wu is a senior software engineer at Safety Vision, TX, USA.He received his Ph.D. from Michigan State University in 2008. Subir Biswas is an Associate Professor and the director of theNetworked Embedded and Wireless Systems laboratory at theMichigan State University.

Klappentext

In this book we investigate two problems concerningwireless sensor networks: (A) energy efficient mediumaccess control and (B) scalable routing architecturefor very large wireless sensor networks. Regarding tothe first problem , we propose a Self ReorganizingSlot Allocation (SRSA) mechanism for a TDMA-basedmedium access control (MAC) protocol. The primarycontribution is to demonstrate that with adaptiveslot allocation algorithms, it is possible tominimize such interference under low traffic loadingconditions. The second contribution is to design afeedback-based adaptive allocation protocol that canminimize those interferences without relying on anyglobal synchronization mechanism. In the secondproblem, we develop a routing solution Off-NetworkControl Processing (ONCP) for sensor networks. Atiered hybrid routing approach, consisting of "coarsegrain" server-based global routing, and distributed"fine grain" local routing is proposed for achievingscalability by avoiding network-wide control messagedissemination. We present the ONCP architecturalconcepts and analytically characterize itsperformance in relations to both flat andhierarchical routing architectures.