Abstract
This paper proposes an algorithm that relocates actors to appropriate positions in order for them to act as cluster heads (CHs) with minimal movement in a clustered sensor network. The proposed algorithm assigns actors to target positions in the cluster center (CC). The CC is an area where the transmission ranges of a CH and its neighboring sensors are overlapped. The proposed algorithm first computes a CC in a cluster and then designates the closest point from an actor in the CC as a target position. At the target position, a relocated actor establishes direct links with all neighbors of a CH in order to substitute for the CH. The target position is located on the boundary of the CC, whereas the CH position is inside the region. Therefore, the actor reduces the movement distance required to become a CH when it moves to the target position rather than to the CH position. In the simulation, our proposed algorithm is compared with the existing algorithm that places the actor at the CH position. The results of the simulation show that our algorithm reduces the movement distance by 12.7% compared with that of contemporary scheme.
Highlights
Wireless sensor and actor networks (WSANs) have been receiving significant attention from many researchers because of their potential for various new applications that require autonomous interaction with the environment
This paper proposes an actor positioning algorithm that relocates actors to Target Position (TP) such that their total movement distance in a clustered sensor network is minimized
The TP is the closest point to an actor in the cluster center (CC)
Summary
Wireless sensor and actor networks (WSANs) have been receiving significant attention from many researchers because of their potential for various new applications that require autonomous interaction with the environment. In a fire monitoring application in a forest, actors such as fire extinguishing robots or flying aircrafts can be deployed rapidly to target positions to control the fire and prevent it from spreading This requires that actors relocate to positions without human intervention because of the harsh environment [3]. The proposed algorithm identifies a target position; the actor moves to this position and acts as a CH, based on the constraint of minimal movement in the clustered sensor network. This method first computes a cluster center (CC) within a cluster and locates a target position in the CC to assign an actor to the position.
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