Abstract
In order to maximize the network’s lifetime and ensure the connectivity among the nodes, most topology management practices use a subgroup of nodes for routing. This paper provides an in-depth look at existing topology management control algorithms in Multi-state structure. We suggest a new algorithm based on Geographical Adaptive Fidelity (GAF) and Adaptive Self-Configuring Sensor Networks Topology (ASCENT). The new proposed algorithm outperforms both GAF and ASCENT algorithms.
Highlights
Wireless sensor networks (WSNs) contain a large number of inexpensive sensor nodes deployed in divers environments, which used to detect data and deliver it to the sink
As Wireless Sensor Networks (WSNs) are becoming more and more popular because of its advantages and wide application range, research is growing intense in this area [1]
In this paper we focus on Geographical Adaptive Fidelity (GAF) algorithm, which is energy saving algorithm
Summary
Wireless sensor networks (WSNs) contain a large number of inexpensive sensor nodes deployed in divers environments, which used to detect data and deliver it to the sink. As Wireless Sensor Networks (WSNs) are becoming more and more popular because of its advantages and wide application range, research is growing intense in this area [1]. In topology management of Wireless sensor network, energy efficiency is the primary factor. Most sensors depending on the requirement are battery powered and conserving the energy of these sensors is very crucial [2]. One straightforward approach is to turn off the radio of the sensor, thereby conserving energy. In a power conserving topology control algorithm for multi-hop ad-hoc WSN, we save power through
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