“…Fuzzy-Logic LEACH (FL-LEACH) [21] routing protocol employs fuzzy logic in the selection of CHs and finds the exact number of sensor nodes to be selected as CHs. The system of fuzzy logic is composed by a fuzzifier, a fuzzy inference system, a set of rules, and defuzzifier.…”
Section: Review On Hierarchical Routing Protocols For Wsnsmentioning
confidence: 99%
“…Block diagram of the FL-LEACH protocol is shown in Figure 5. FL-LEACH [21] used fuzzy logic on the basis of two input variables, which are the density of the network and the total number of nodes in the WSN. Equation (6) shows the computation of CHs (P FL ) percentage.…”
Section: Review On Hierarchical Routing Protocols For Wsnsmentioning
confidence: 99%
“…where x is the universe discourse and μ FL represents the aggregated output for membership. Although FL-LEACH [21] protocols provide best distribution of CHs and enhance the overall network lifetime, but it increases the complexity level of the routing protocol. CH selection criteria are also not efficient; threshold level can be used for the selection of CHs, which may increase the overall lifetime of the network.…”
Section: Review On Hierarchical Routing Protocols For Wsnsmentioning
Wireless sensor network (WSN) comprises of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, and pressure, and to cooperatively forward the collected information to the destination through the network infrastructure. As sensor nodes are energy constraint devices, therefore, the importance of energy efficient routing protocols has been increased. In order to minimize energy consumption, recently, a number of hierarchical routing protocols are proposed. For instance, LEACH is an elementary hierarchical routing protocol that employs clustering technique to achieve energy efficiency. A lot of research work has been performed to remove shortcomings and to improve the performance of hierarchical routing protocols. Therefore, a comprehensive review is required which can review state-of-the-art technologies, analyze functional and performance aspects, and highlight hierarchical routing protocol issues and challenges in WSNs. This paper proposes a taxonomy for the classification of existing hierarchical routing protocols for WSNs and analyzes the functionality and performance of existing hierarchical routing protocols. Moreover, it compares existing routing protocols to highlight key technological differences and provides performance comparison for the selected LEACH based routing protocols. Finally, the paper spotlights issues and challenges in existing routing protocols of WSNs, which can assist in future research for the selection of appropriate research domain and provide guidance in selection of energy efficient techniques in the design of energy efficient of routing protocols for WSNs.
“…Fuzzy-Logic LEACH (FL-LEACH) [21] routing protocol employs fuzzy logic in the selection of CHs and finds the exact number of sensor nodes to be selected as CHs. The system of fuzzy logic is composed by a fuzzifier, a fuzzy inference system, a set of rules, and defuzzifier.…”
Section: Review On Hierarchical Routing Protocols For Wsnsmentioning
confidence: 99%
“…Block diagram of the FL-LEACH protocol is shown in Figure 5. FL-LEACH [21] used fuzzy logic on the basis of two input variables, which are the density of the network and the total number of nodes in the WSN. Equation (6) shows the computation of CHs (P FL ) percentage.…”
Section: Review On Hierarchical Routing Protocols For Wsnsmentioning
confidence: 99%
“…where x is the universe discourse and μ FL represents the aggregated output for membership. Although FL-LEACH [21] protocols provide best distribution of CHs and enhance the overall network lifetime, but it increases the complexity level of the routing protocol. CH selection criteria are also not efficient; threshold level can be used for the selection of CHs, which may increase the overall lifetime of the network.…”
Section: Review On Hierarchical Routing Protocols For Wsnsmentioning
Wireless sensor network (WSN) comprises of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, and pressure, and to cooperatively forward the collected information to the destination through the network infrastructure. As sensor nodes are energy constraint devices, therefore, the importance of energy efficient routing protocols has been increased. In order to minimize energy consumption, recently, a number of hierarchical routing protocols are proposed. For instance, LEACH is an elementary hierarchical routing protocol that employs clustering technique to achieve energy efficiency. A lot of research work has been performed to remove shortcomings and to improve the performance of hierarchical routing protocols. Therefore, a comprehensive review is required which can review state-of-the-art technologies, analyze functional and performance aspects, and highlight hierarchical routing protocol issues and challenges in WSNs. This paper proposes a taxonomy for the classification of existing hierarchical routing protocols for WSNs and analyzes the functionality and performance of existing hierarchical routing protocols. Moreover, it compares existing routing protocols to highlight key technological differences and provides performance comparison for the selected LEACH based routing protocols. Finally, the paper spotlights issues and challenges in existing routing protocols of WSNs, which can assist in future research for the selection of appropriate research domain and provide guidance in selection of energy efficient techniques in the design of energy efficient of routing protocols for WSNs.
“…LEACH-GA depicts better performance than LEACH but message overhead is involved. In 2012, Feda' Al-Ma'aqbeh et al propound FL-LEACH [24] which uses fuzzy logic to determine number of CH to be used in WSN. Two fuzzy variables: total nodes and their density is used in fuzzy inference system.…”
In this paper, with an objective to increase stable region of WSN, stability enhancement for LEACH (SE-LEACH) protocol is propound which is capable of balancing the load ensuring all nodes dissipate power in similar fashion. Since best candidate selection is utmost requirement to play the role of cluster head, the selection criteria considers node density, residue energy, farness from base station & power dissipation if chosen as cluster head. Also, non-cluster head nodes elect their cluster head on the basis of residual energy, node density, the power it will dissipate during the round and distance to that cluster head. Simulation experiments are performed for two cases wherein a base station is kept at the center of the network in one hand and at far off distance on the other hand. Simulation results are compared with LEACH and MOD-LEACH which validate the extension of stability region and exhibit load balanced network for proposed protocol. | Volume 6 | Issue 20 | e5 conserving energy. As discussed in [5], communication dissipates most of the network's energy. Clustering is the grouping of nodes to form clusters[6]- [8]. Clustering has the capability to improve lifetime if good candidate is chosen as CH. It not only increases the robustness but also makes the network scalable. The task of cluster coordinator is not merely to accumulate data but also to meld or aggregate it. By reducing the number of bits for communication by applying aggregation or fusion, a good amount of energy can be conserved. The cluster coordinator may get exhausted prematurely than member nodes if the role is not rotated because CH role is very energy intensive task which can deplete battery level at faster rate [9]. Thus, for better lifetime, the CH role may be rotated on timely basis.This literature focuses on increasing the stability of the LEACH [10] protocol by overcoming its limitations and improving the performance. The objective of LEACH is to prolong network lifetime by formation of clusters and rotating CH role. While designing the LEACH protocol, the author didn't consider some factors that affects the energy of the network like residual energy, density around node, farness from BS, tentative energy dissipation by CH node, average distance to nearby nodes. Also, the protocol is randomized which can lead to zero CH in some rounds. This papers covers all these limitations to enhance stability region for achieving more reliability in network. Outline of this paper is as follows: Section 2 discusses literature survey. Section 3 describes proposed work. Section 4 presents the simulation experiments and performance evaluation. Concluding remarks with future directions are discussed in Section 5.
Dead nodes per roundA graph is plot for dead nodes per round for both the scenarios as shown in Figure 3. Premature death of SN makes the network unstable and unreliable. It exhibits the network lifespan after the network gets operational (i.e. beginning of clustering process). We can observe from Figure 3 that SE-LEACH successfully balance...
“…Various energy-efficient algorithms have been designed; the major intention of these algorithms is to provide better communication along with enhancing the lifespan of Cluster Heads (CH) and SNs [11], [12]. One of the hierarchical routing protocols, such as LEACH [13] and its various modification protocols use the same energy despite equal distances between senders and receivers, and the network lifetime can also be extended by using multiple levels of data transmission of data packets between sender and receiver [14].…”
Now a day wireless sensor networks (WSNs) is an essential unit of the internet of things (IoT). IoT theater a vital role in real-time applications which is more useful in real life. Due to its small price and potential use, WSNs have shown importance in different applications over the past year. Health concerns, environmental observation, human protection, military operations, surveillance systems, etc. WSNs have a small device called a sensor node (SN) that has a limited battery. IoT based WSNs consume more energy in sensor node communication. Therefore a Novel energy-efficient sensor node deployment scheme for two-stage routing protocol (EE- DSTRP) has been proposed to reduce the energy consumption of sensor nodes and extend the lifetime of the network. Sensor node deployment is a novel approach based on the golden ratio. All traditional protocols divide network zones for communication. No existing protocols tell about the sensor node deployment ratio in each zone. The deployment method is an important factor in reducing the energy usage of a network. To validate its efficiency, in this article, simulation results prove that the proposed IoT based EE-DSTRP protocol is superior to other existing protocols.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.