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A DISTRIBUTED FAULT-TOLERANT TOPOLOGY
CONTROL ALGORITHM FOR HETEROGENEOUS
WIRELESS SENSOR NETWORKS
ABSTRACT
This paper introduces a distributed fault-tolerant topology control algorithm, called the
Disjoint Path Vector (DPV), forheterogeneous wireless sensor networks composed of a large
number of sensor nodes with limited energy and computing capability and several supernodes
with unlimited energy resources. The DPV algorithm addresses the k-degree Anycast Topology
Control problem where the main objective is to assign each sensor’s transmission range such that
each has at least k-vertex-disjoint paths to supernodes and the total power consumption is
minimum. The resulting topologies are tolerant to k _ 1 node failures in the worst case. We prove
the correctness of our approach by showing that topologies generated by DPV are guaranteed to
satisfy k-vertex supernode connectivity. Our simulations show that the DPV algorithm achieves
up to 4-fold reduction in total transmission power required in the network and 2-fold reduction in
maximum transmission power required in a node compared to existing solutions

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A DISTRIBUTED FAULT-TOLERANT TOPOLOGY CONTROL ALGORITHM FOR HETEROGENEOUS WIRELESS SENSOR NETWORKS

  • 1. A DISTRIBUTED FAULT-TOLERANT TOPOLOGY CONTROL ALGORITHM FOR HETEROGENEOUS WIRELESS SENSOR NETWORKS ABSTRACT This paper introduces a distributed fault-tolerant topology control algorithm, called the Disjoint Path Vector (DPV), forheterogeneous wireless sensor networks composed of a large number of sensor nodes with limited energy and computing capability and several supernodes with unlimited energy resources. The DPV algorithm addresses the k-degree Anycast Topology Control problem where the main objective is to assign each sensor’s transmission range such that each has at least k-vertex-disjoint paths to supernodes and the total power consumption is minimum. The resulting topologies are tolerant to k _ 1 node failures in the worst case. We prove the correctness of our approach by showing that topologies generated by DPV are guaranteed to satisfy k-vertex supernode connectivity. Our simulations show that the DPV algorithm achieves up to 4-fold reduction in total transmission power required in the network and 2-fold reduction in maximum transmission power required in a node compared to existing solutions