A Competent Ad-hoc Sensor Routing Protocol for Energy Efficiency in Mobile Wireless Sensor Networks
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A Competent Ad‑hoc Sensor Routing Protocol for Energy Efficiency in Mobile Wireless Sensor Networks K. Manikanda Kumaran1 · M. Chinnadurai2
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract In wireless sensor networks (WSNs), energy utilization plays an essential part in the survival time (survivability) of the network. All the network aspects are redesigned to work in the WSN for lesser energy consumption. In this regard, routing protocol and dynamic topology are very crucial aspects to be noted. In this work, we present a competent adhoc sensor routing (CASeR) protocol for delay reduction, reliable data communication, and efficient energy usage in mobile WSNs (MWSNs). It is aimed to cope up with challenging requirements of the rising limited battery powered technologies, which requires low energy consumption and end-to-end delay (EED). Further, the CASeR uses reservation based channel allocation using reservation time division multiple access mobility adaptive cross-layer in dynamic networks and cost based multi-hop communication for packet forwarding and gradient maintenance. The MWSN routing protocols, robust ad-hoc sensor routing, mobility adaptive cross-layer routing, and proactive highly ambulatory sensor routing as well as the mobile ad-hoc network protocols, optimized link state routing and ad-hoc on demand distance vector, measure up with the CASeR. The simulation results show improvements over other routing protocols in energy consumption, EED, queuing delay, and reliable data communication. The competence of this protocol makes it highly suitable to minimize time delay in target applications. Keywords Routing · Wireless sensor network · Energy efficiency · Dynamic topology · Ad-hoc network
* K. Manikanda Kumaran [email protected] M. Chinnadurai [email protected] 1
Department of Information Technology, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, India
2
Department of Computer Science and Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, India
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K. M. Kumaran, M. Chinnadurai
1 Introduction Wireless sensor networks (WSNs) comprise of a huge number of limited capacity micro electro mechanical systems equipped for estimating physical phenomena and reporting to the processing node called a sink [1]. The limited ability actually is in terms of processing capability, power consumption, etc. The deployment area of the WSN makes it so complex in many aspects such as routing, energy consumption, reliability, and delay. Mostly the WSNs are placed in remote areas and are intended for surveillance [2] and environmental monitoring [3] to negate the presence of humans. In remote areas, there will not be any uninterrupted power supply for distribution. Due to such constraints, sensor networks are aimed to work with limited power supply. So conservation of energy in the WSN is critical because the lifetime of the network depends on the limited power supply and the same is addressed in significant research studie
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