A Review on Failure Node Recovery Algorithms in Wireless Sensor Actor Networks

TL;DR

This paper reviews three node recovery algorithms in wireless sensor-actor networks, analyzing their performance in restoring network connectivity after actor failures in harsh environments.

Contribution

It provides a comparative review of LeDir, RIM, and DARA algorithms, highlighting their effectiveness in network recovery and performance metrics.

Findings

LeDir reduces network overhead effectively.

RIM maintains shorter path lengths.

DARA balances recovery efficiency and resource use.

Abstract

In wireless sensor-actor networks, sensors probe their surroundings and forward their data to actor nodes. Actors collect sensor data and perform certain tasks in response to various events. Since actors operate on harsh environment, they may easily get damaged or failed. Failed actor nodes may partition the network into disjoint subsets. In order to reestablish connectivity nodes may be relocated to new positions. This paper focus on review of three (LeDir, RIM, DARA) node recovery algorithms, and their performance has been analysed in terms network overhead and path length validation metrics.