| dc.description.abstract | Routing in sensor networks is a challenging issue due to inherent constraints such
as power, memory, and CPU processing capabilities. In this thesis, we assume an All
to All communication mode in an N × N grid sensor network. We explore routing
algorithms which load balance the network without compromising the shortest paths
constrain. We analyzed the Servetto method and studied two routing strategies,
namely Horizontal-Vertical routing and Zigzag routing. The problem is divided into
two scenarios, one being the static case (without failed nodes), and the other being the
dynamic case (with failed nodes). In static network case, we derived mathematical
formulae representing the maximum and minimum loads on a sensor grid, when
specific routing strategies are employed. We show improvement in performance in
load balancing of the grid by using Horizontal-Vertical method instead of the existing
Servetto method. In the dynamic network scenario, we compare the performance of
routing strategies with respect to probability of failure of nodes in the grid network.
We derived the formulae for the success-ratio, in specific strategies, when nodes fail
with a probability of p in a predefined source-destination pair communication. We
show that the Servetto method does not perform well in both scenarios. In addition,
Hybrid strategy proposed does not perform well compared to the studied strategies.
We support the derived formulae and the performance of the routing strategies with
extensive simulations. | en |
