Many agricultural activities can be highly enhanced by using sensor networks and data mining techniques. One of these activities is the regulation of the quantity of water in cultivated fields. Moreover, wireless sensor network have become a more emerging technology in precision agriculture during the recent years. The important issue in the design of wireless sensor networks is the utilization of energy and to enhance the lifetime of the sensor nodes. In this paper, a new intelligent routing protocol has been proposed to improve the network lifetime and to provide energy efficiency in the routing process which is used to provide data to the irrigation system. This novel intelligent energy efficient routing protocol uses fuzzy rules and the protocol is called as Terrain based Routing using Fuzzy rules for precision agriculture. The fuzzy inference system developed in this work has been used to take decisions for routing. The system has been implemented and compared with two routing algorithms called Region Based Routing and Equalized Cluster Head Election Routing Protocol. The experimental results show that the proposed algorithm performs better than the other existing algorithms. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.

Ganapathy S

Computer Science

School of Computer Science and Engineering

Chennai Campus

Kannan Arputharaj

Vellore Campus

Pandiyaraju V

Logambigai R

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Wireless Personal Communications

In wireless sensor networks (WSN), the nodes are used to collect and gather the data from different environments. Hence, the network consumes more energy which is the main and challenging issue in WSNs. Since the sensor is operating under battery, recharging is impossible and hence the lifetime of each sensor is an important issue. Therefore, it is necessary to introduce new and efficient techniques to extend the network lifetime. In this paper, a new delay constrained energy efficient routing technique is proposed for performing effective routing in WSNs. This approach introduces a delay constraint based reliable routing approach which reduces the energy consumption by constructing efficient clusters without increasing the end-to-end delay. Moreover, the proposed technique called the rule based clustering for routing model provides better performance in terms of network lifetime than the other existing techniques since they consume more energy during the formation of clusters and finding the shortest path. Moreover, additional overhead on the cluster head selection is tackled also using rules in this proposed model in an efficient manner by building balanced clusters. The main advantage of the proposed approach is that it extends the lifetime of the network and increases the throughput, energy efficiency, link quality and scalability. The experimental verification of this technique has been carried out using MATLAB simulations and proved that this model increases the packet delivery rate, network performance and reduces the delay and energy consumption. © 2017, Springer Science+Business Media, LLC.

Cluster Computing

A rule based delay constrained energy efficient routing technique for wireless sensor networks

Energy consumption and security are two important aspects of Mobile Ad Hoc Networks (MANETs). In MANET, application security can be provided using trust management, key management, firewalls and intrusion detection. Moreover, it is often necessary to communicate secret information in military applications where urgent and reliable communication is more important. However, most of the existing routing algorithms do not focus on the energy and security aspects while routing. Since energy and security are important criteria for reliable communication in MANET, it is essential to consider the energy and security aspects in routing algorithms. The prevention of security attacks on routing protocols and cluster based routing automatically reduces the energy consumption. Hence, we propose a new secured routing protocol called Cluster based Energy Efficient Secure Routing Algorithm (CEESRA) in this paper which is energy efficient and uses cluster based routing in which the trust scores on nodes are used to detect the intruders effectively. This routing algorithm reduces the Denial of Service attacks more efficiently by using intelligent agents for effective decision making in routing. From the experiments conducted with this trust based secured routing algorithm, it has been observed that this proposed routing algorithm not only enhances the security but also reduces the energy consumption and routing delay. © 2017, Springer Science+Business Media New York.

An Intelligent Secured and Energy Efficient Routing Algorithm for MANETs

2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM)

An Energy Efficient Clustering Approach Using Spectral Graph Theory in Wireless Sensor Networks

Wireless sensor networks (WSN) are useful in many practical applications including agriculture, military and health care systems. However, the nodes in a sensor network are constrained by energy and hence the lifespan of such sensor nodes are limited due to the energy problem. Temporal logics provide a facility to predict the lifetime of sensor nodes in a WSN using the past and present traffic and environmental conditions. Moreover, fuzzy logic helps to perform inference under uncertainty. When fuzzy logic is combined with temporal constraints, it increases the accuracy of decision making with qualitative information. Hence, a new data collection and cluster based energy efficient routing algorithm is proposed in this paper by extending the existing LEACH protocol. Extensions are provided in this work by including fuzzy temporal rules for making data collection and routing decisions. Moreover, this proposed work uses fuzzy temporal logic for forming clusters and to perform cluster based routing. The main difference between other cluster based routing protocols and the proposed protocol is that two types of cluster heads are used here, one for data collection and other for routing. In this research work we conducted an experiment and it is observed that the proposed fuzzy cluster based routing algorithm with temporal constrains enhances the network life time reduces the energy consumption and enhances the quality of service by increasing the packet delivery ratio by reducing the delay. © 2016 ACM.

Proceedings of the International Conference on Informatics and Analytics - ICIA-16

Fuzzy Temporal Approach for Energy Efficient Routing in WSN

Journal of King Saud University - Computer and Information Sciences

A survey on energy efficient coverage protocols in wireless sensor networks

An Energy Efficient Routing Algorithm for WSNs Using Intelligent Fuzzy Rules in Precision Agriculture

Journal	Data powered by TypesetWireless Personal Communications
Publisher	Data powered by TypesetSpringer Science and Business Media LLC
ISSN	0929-6212
Open Access	0