MDSA: Modified Distributed Storage Algorithm for Wireless Sensor Networks

TL;DR

This paper introduces MDSA, a modified distributed storage algorithm for wireless sensor networks that enhances data reliability despite node failures by using flooding and unicasting techniques.

Contribution

The paper presents a novel distributed storage algorithm tailored for wireless sensor networks, improving data redundancy and recovery in resource-constrained environments.

Findings

The algorithm effectively spreads data using flooding and unicasting.

Simulation results demonstrate improved data reliability.

The method is suitable for networks with node failures.

Abstract

In this paper, we propose a Modified distributed storage algorithm for wireless sensor networks (MDSA). Wireless Sensor Networks, as it is well known, suffer of power limitation, small memory capacity,and limited processing capabilities. Therefore, every node may disappear temporarily or permanently from the network due to many different reasons such as battery failure or physical damage. Since every node collects significant data about its region, it is important to find a methodology to recover these data in case of failure of the source node. Distributed storage algorithms provide reliable access to data through the redundancy spread over individual unreliable nodes. The proposed algorithm uses flooding to spread data over the network and unicasting to provide controlled data redundancy through the network. We evaluate the performance of the proposed algorithm through implementation and simulation. We show the results and the performance evaluation of the proposed algorithm.