An Energy Efficient Cluster-Heads Re-Usability Mechanism for Wireless Sensor Networks

Abstract

Wireless sensor networks (WSNs) are formed using a cluster of sensor nodes (SNs), deployed randomly to perform sensing operations in an area under observation. Due to the unavailability of an external power source, the energy efficiency considered as one of the critical issues in WSNs. Selection of a sensor node (SN) from a wireless sensor network (WSN) cluster to serve as an aggregator or cluster head (CH), considered as an efficient method to increase the lifetime of wireless sensor network (WSN). In this paper, we have proposed an energy efficient CH selection scheme for WSN, to enhance the lifetime and average residual energy of a single WSN cluster. The proposed strategy nominates a group SNs as CHs, based on their channel condition with the base station (BS) and their residual energy. The proposed algorithm is helpful in solving the problem of unbalanced energy consumption in WSNs. Furthermore, the mechanism of using mobile sink during the hand-off stage helps to overcome the delay in data transmission. Moreover, the incorporation of energy harvesting significantly increases the lifetime of WSN. In comparison to a state-of-art technique available in the literature, our scheme shows a 33% increase in lifetime and presents a steady decrease in residual energy for the same rounds of data transmission.Index Terms-Wireless sensor network (WSN), lifetime, cluster head selection, average residual energy.

An Efficient Energy Harvesting and Optimal Clustering Technique for Sustainable Postdisaster Emergency Communication Systems

“…Haider et al [26] proposed an optimum CH selection strategy to maximize the lifetime of wireless sensor networks. The CH was selected based on the average residual energy, link quality and distance of each sensor node from the UAV [27].…”

UAV-assisted Cluster-head Selection Mechanism for Wireless Sensor Network Applications

“…The proposed method helps in the optimum selection of CH instead of selecting it randomly, providing a solution for unbalanced energy consumption. Our proposed method is the enhancement of our previous work [4], where the CH was selected based on the average residual energy and the channel condition with the BS. In our current approach, the CH is shifted accordingly with the position of UAV to keep the communication distance shorter.…”

“…The proposed algorithm incorporates the methodology of [4], with improvements, to further increase the network lifetime, balancing the energy consumption of WSN cluster and minimizing the communication link failure probability with the BS. The proposed mechanism uses the assistance of a UAV, manoeuvring over a WSN cluster to communicate with the BS.…”

“…In literature [3], a dynamic cluster head selection method is used to select a CH using average residual energy as a parameter. In [4], we have proposed an energy-efficient CH reusability methodology for WSN, that selects some SNs from a WSN cluster based on their average residual energy and channel condition with the sink and enlist them in descending order. The highest order SN in the list is elected as CH and handover its responsibility to next SN in the list if residual energy reaches a certain threshold.…”

Internet of Drones: Routing Algorithms, Techniques and Challenges

“…However, routing the collected data efficiently in a network environment with mobile drones is the most challenging task for the research community. Researchers have put forward different techniques to address this challenge [7]. However, there are no standard routing protocols as of now.…”