Energy-efficient Multi-hop Routing Protocol Research Articles

An Energy-Efficient Multihop Routing Protocol for 3-D Bridge Wireless Sensor Network Based on Secretary Bird Optimization Algorithm

An Energy-Efficient Multihop Routing Protocol for 3-D Bridge Wireless Sensor Network Based on Secretary Bird Optimization Algorithm

Multi-Hop Clustering and Routing Protocol Based on Enhanced Snake Optimizer and Golden Jackal Optimization in WSNs.

A collection of smaller, less expensive sensor nodes called wireless sensor networks (WSNs) use their sensing range to gather environmental data. Data are sent in a multi-hop manner from the sensing node to the base station (BS). The bulk of these sensor nodes run on batteries, which makes replacement and maintenance somewhat difficult. Preserving the network's energy efficiency is essential to its longevity. In this study, we propose an energy-efficient multi-hop routing protocol called ESO-GJO, which combines the enhanced Snake Optimizer (SO) and Golden Jackal Optimization (GJO). The ESO-GJO method first applies the traditional SO algorithm and then integrates the Brownian motion function in the exploitation stage. The process then integrates multiple parameters, including the energy consumption of the cluster head (CH), node degree of CH, and distance between node and BS to create a fitness function that is used to choose a group of appropriate CHs. Lastly, a multi-hop routing path between CH and BS is created using the GJO optimization technique. According to simulation results, the suggested scheme outperforms LSA, LEACH-IACA, and LEACH-ANT in terms of lowering network energy consumption and extending network lifetime.

ESTEEM – Enhanced stability and throughput for energy efficient multihop routing based on Markov Chain Model in wireless body area networks

Wireless Medical Body Area Sensor Network (WMBASN) monitors vital human biological parameters used for various healthcare and fitness applications. The design and development of a reliable WMBASN routing protocol with improved network performance are significant tasks for researchers and healthcare industries. This work focuses on multi-hop routing to select a relay node to collect data from far away sensor nodes and to Central Coordinator Node (CCN). A novel approach for choosing best fitted Assistive Node (AN) by incorporating Hidden Markov Chain Model (HMCM) called Enhanced Stability and Throughput for Energy Efficient Multihop routing protocol (ESTEEM). Selection Function selects the best-fitted AN based on HMCM relating to maximum residual energy and minimum distance between the sensor node and CCN. The outcome of the proposed ESTEEM achieves increased throughput, better stability with the first dead node and extended network lifetime with the last dead node at 71% and 95.1% of total simulation time, respectively. In addition, the proposed work also concentrates on CCN placed at different positions on the human body to analyze and identify its best position for better routing. Overall, an improved multi-hop, energy efficiency and better quality of service are achieved based on specific network parameters with random postural movements through ESTEEM, and the results are superior to conventional routing protocols.

Energy efficient multi-hop routing protocol for smart vehicle monitoring using intelligent sensor networks

This article focuses on intensifying in-vehicle biological wireless sensor networks for the persistence of monitoring the information on a precise vehicle. The wireless sensor networks will have enormous amount of nodules which are interrelated with each other. Therefore, these wireless sensor networks can be installed on a vehicle not only for monitoring perseverance but also for corroborating security with the support of a Global Positioning System expedient. In addition, the projected work focuses on reliable communiqué which is defined in terms of network reliability with discrepancy in reporting rate at each base station. To validate the efficiency of the proposed scheme, the simulation has been abetted using network simulator (NS2) and the outcomes indicate that when the sensors are installed, a robust system can be obtained with improved data transfer between the base stations. Moreover, a fortified in-vehicular sensor can be fixed in each vehicle with minimized path loss.

An uneven annulus sector grid-based energy-efficient multi-hop routing protocol for wireless sensor networks

An uneven annulus sector grid-based energy-efficient multi-hop routing protocol for wireless sensor networks

A New Energy-efficient Multi-hop Routing Protocol for Heterogeneous Wireless Sensor Networks

A New Energy-efficient Multi-hop Routing Protocol for Heterogeneous Wireless Sensor Networks

E2MR-HOA: Conservation of Energy through Multi-Hop Routing Protocol for WSN’S Using Hybrid Optimization Algorithm

Consuming energy at the maximal level is a major concern in wireless sensor networks (WSNs). Many researchers focus on reducing and preserving the energy. The duration of active network of WSNs is affected by energy consumption of sensor nodes. For typical applications such as structure monitoring, border surveillance, integrated into the external surface of a pipeline, and clambered along the sustaining structure of a bridge, sensor node energy efficiency is an important issue. The paper proposed an energy-efficient multi-hop routing protocol using hybrid optimization algorithm (E2MR-HOA) for WSNs. The proposed routing protocol consists of two algorithms, i.e., hybrid optimization algorithm. We present modified chemical reaction optimization (MCRO) algorithm to form clusters and select cluster head (CH) among the cluster members. Then the modified bacterial forging search (MBFS) algorithm is used to compute reliable route between source to destination. The proposed E2MR-HOA protocol is evaluated using NS2 simulations. The simulation result shows that the proposed routing protocol provides significant energy efficiency with network lifetime over the existing routing protocols.

An energy-efficient multi-hop routing protocol for health monitoring in wireless body area networks

Wireless Body Area Network (WBAN) is an emerging field in computer technology, that plays vital role in society, which facilitates the medical practitioners to remotely monitor and allows them to provide accurate treatment to patients. In WBAN, routing plays an important role to prolong the life time of WBAN. Routing establishes the path between wireless sensor nodes and sink node. In this paper, we propose a protocol in WBAN which transfers body sensing data from various sensors, deployed on human body, to sink node using multi-hop routing technique. The main objective of our approach is to prolong the average network life time of WBAN by reducing overall energy consumption. In our approach, we select a parent node in a multi-hop, based on residual energy, using Mamdani (Fuzzy logic) approach. We show the efficacy of our approach using simulations. We also compare our approach with two state-of-art routing algorithms viz. SIMPLE and M-ATTEMPT.

Latency and energy-efficient multi-hop routing protocol for unmanned aerial vehicle networks

Unmanned aerial vehicle is one of the main announced use cases of 5G/IMT2020, which is expected to have various applications in many fields. These devices have limited capabilities in terms of energy and processing. Due to the complex structure of unmanned aerial vehicle networks and the high mobility constraints, design of efficient routing protocol, for supporting such network, is a challenge. Thus, efficient routing of data among unmanned aerial vehicles between source and destination is an important issue in designing unmanned aerial vehicle networks. Proactive routing protocols are one of the main categories of routing protocols developed for mobile ad hoc networks and vehicular ad hoc networks. Optimized link state routing protocol is one of the most common proactive routing protocols that has been modified to support unmanned aerial vehicle networks, considering high mobility feature of the network. In this work, we propose a latency and energy-efficient proactive routing protocol for dense unmanned aerial vehicle networks, with high-density devices, based on optimized link state routing protocol algorithm, referred to as multi-objective optimized link state routing protocol. The proposed routing protocol is topology aware and can be used for low-latency and high-mobility applications. The proposed multi-objective optimized link state routing protocol routing algorithm considers all modified versions of optimized link state routing protocol and introduces a novel method for selecting multipoint relay nodes that considers the traffic load on the communication channel and the load on each unmanned aerial vehicle node. Moreover, the proposed algorithm considers the communication link stability and the energy constraints. The system is simulated over a reliable environment for various scenarios, and it is compared to the original optimized link state routing protocol and its modified versions. Simulation results indicate that the proposed protocol achieves higher efficiency in terms of latency, energy, and reliability.

A modified energy efficient multi-hop routing protocol in wireless sensor networks

Energy efficient routing protocols in Wireless Sensor Networks (WSNs) is an important area of research due to energy limitations. It is therefore important to maximize the limited energy so as to increase the network lifetime of the WSN. In this paper, a modified energy efficient multi-hop routing protocol (mEEMRP) in a 200 m2 field is presented. This protocol is based on a technique that involves balancing load between communication management (CM) nodes during the multi-hop routing of aggregated data to the base station (BS), where the residual energy (RE) levels of CM nodes are considered as well as the distance between neighboring CM nodes. Simulation results showed that mEEMRP yielded a 1.77% improvement over energy efficient multi-hop routing protocol (EEMRP) in terms of network lifetime. More so, the proposed mEEMRP also improved the energy consumption and the number of packets received at the BS by 4.83% and 7.41%, respectively.Keywords: Routing protocol, Multi-hop routing, Network lifetime, mEEMRP, EEMRP

RB-IEMRP: RELAY BASED IMPROVED THROUGHPUT ENERGY-EFFICIENT MULTI-HOP ROUTING PROTOCOL FOR INTRA BODY SENSOR NETWORK (INTRA-WBSN)

In this paper, we have proposed a Relay based Improved Throughput and Energy-efficient Multi-hop Routing Protocol (Rb-IEMRP) for the Intra Wireless Body Sensor Network (Intra-WBSN). Moreover, mathematical analysis has been presented, to calculate the minimum number of relay nodes require to be deployed corresponding to the bio-sensor nodes in Intra-WBSN. Normal sensing data from bio-sensor nodes forwarded to BNC through relay nodes while emergency data is directly transmitted to BNC. Relays nodes are placed in the patients' cloth. It can be easily replaced or recharged that facilitates effective health monitoring. The proposed routing protocol has achieved better network stability, network lifetime, energy efficiency and throughput as compared to Stable Increased Throughput Multi-Hop Protocol for Link Efficiency in Wireless Body Area Networks (SIMPLE) and Reliable Energy Efficient Critical Data Routing in Wireless Body Area Networks (REEC) routing protocols. It has been validated through simulation results.

An annulus sector grid aided energy-efficient multi-hop routing protocol for wireless sensor networks

Wireless sensor networks (WSNs) consist of a large number of sensor nodes which usually have very limited energy and are deployed in the wild environment. The batteries of the nodes cannot be recharged or replaced. Therefore, it is necessary to design energy-efficient routing protocols to maximize the network lifetime. This paper proposes an annulus sector grid aided routing protocol (ASGRP) which uses an annulus sector grid clustering method to improve WSNs’ energy efficiency and prolong the network lifetime. The annulus sector grid clustering method based on arithmetic progression is presented to divide the network area into clusters with various sizes. From the base station (BS) outwards, the network area is divided into different levels with incremental equal difference distance. This paper also presents an inter-level multi-hop routing algorithm to improve the energy efficiency of data transmission between the BS and cluster head (CH) nodes. The algorithm combines the communication management (CM) nodes with CH nodes to establish routes to transmit data. Simulation results show that compared with multi-hop EEBCDA, EEMRP and CAMP, ASGRP prolongs the network lifetime by 24.36–70.68% in the 200 m × 200 m network and 25.47–90.34% in the 400 m × 400 m network. The proposed protocol significantly reduces the energy consumption of each round and has better performance of energy balance and efficiency in the larger network area.

An Election Energy Threshold Based Multi-Hop Routing Protocol in a Grid-Clustered Wireless Sensor Network

Owing to the limited energy of sensor nodes (SNs) in a wireless sensor network (WSN), it is important to reduce and balance the energy consumption of the SNs in order to extend the WSN lifetime. Clustering mechanism is a highly efficient and effective mechanism for minimizing the amount of energy that SNs consume during the transmission of data packets. In this paper, an election energy threshold based multi-hop routing protocol (mEEMRP) is presented. In order to minimize energy consumption, this routing protocol uses grid clustering, where the network field is divided into grid clusters. SNs in each grid cluster select a cluster head (CH) based on a weight factor that takes the node location, node’s residual energy (RE) as well as the node’s distance from the base station into consideration. An energy efficient multi-hop routing algorithm is adopted during the transmission of data packets from the cluster heads (CHs) to the base station (BS). This multi-hop routing algorithm uses an election energy threshold value, T­nhCH that takes into consideration the RE of CHs as well as the distance between CHs. Simulation results show a 1.77% and 10.65% improvement in terms of network lifetime for two network field scenarios over Energy Efficient Multi-hop Routing Protocol (EEMRP).

Reliable Energy Efficient Multi-hop Routing Protocol for Heterogeneous Body Area Networks

Reliable Energy Efficient Multi-hop Routing Protocol for Heterogeneous Body Area Networks

Pm-EEMRP: Postural Movement Based Energy Efficient Multi-hop Routing Protocol for Intra Wireless Body Sensor Network (Intra-WBSN)

Intra-WBSN plays an important role in health monitoring, military and consumer electronics. It iscomposed of wireless bio-sensor nodes which are strategically placed on the body. Due to body posture movement, network topology of Intra-WBSN changes continuously. It plays a significant role in Intra-WBSN. In proposed Pm-EEMRP, network stability, energy efficiency and high throughput are the prime parametersfor body posture movement in which sensing informations from bio-sensor nodes are forwarded to relay nodes. Relay nodesare deployed in cloths, which aggregate these data and forward it to body network controller (BNC). It provides reliable and comfortable health monitoring. Through simulation, the proposed routing protocol provides better network stability, improved energy efficiency and high throughput in comparison to conventional routing schemes.

Energy Aware Multi-Hop Routing Protocol for WSNs

In this paper, we propose an energy-efficient multi-hop routing protocol for wireless sensor networks (WSNs). The nature of sensor nodes with limited batteries and inefficient protocols are the key limiting factors of the sensor network lifetime. We aim to provide for a green routing protocol that can be implemented in a wireless sensor network. Our proposed protocol’s most significant achievement is the reduction of the excessive overhead typically seen in most of the routing protocols by employing fixed clustering and reducing the number of cluster head changes. The performance analysis indicates that overhead reduction significantly improves the lifetime as energy consumption in the sensor nodes can be reduced through an energy-efficient protocol. In addition, the implementation of the relay nodes allows the transmission of collected cluster data through inter cluster transmissions. As a result, the scalability of a wireless sensor network can be increased. The usage of relay nodes also has a positive impact on the energy dissipation in the network.

An energy-efficient multi-hop routing protocol based on grid clustering for wireless sensor networks

Due to the limited energy of wireless sensor network nodes, it is necessary to reduce and balance the energy consumption of the nodes in order to extend the network lifetime. Clustering routing algorithm is a very effective solution to the problem. However, in existing clustering algorithms based on uniform and non-uniform clustering routing protocols, the heavy burden of cluster heads may lead to the rapid death of the nodes, and the location of functional nodes within clusters is not carefully considered during clustering. The unbalanced energy consumption of sensor nodes shortens the network lifetime. In this paper, we propose an energy-efficient multi-hop routing algorithm based on grid clustering to tackle the problems. In order to minimize the energy consumption, the algorithm optimizes the electoral process of functional nodes by combining various factors such as nodes' energy, nodes' location, and levels of the network area. Communication nodes are introduced to select cluster head nodes and transfer data between clusters via multi-hop routing, easing the burden of cluster heads. Simulation results show that the network lifetime of the proposed EEMRP protocol is extended by 17.5---25.2%, as compared to other algorithms. Specially, EEMRP has better performance of energy balance and efficiency in the larger network area.

An Improved Energy Aware Distributed Clustering Protocol for Wireless Sensor Networks

The present work considers energy aware distributed clustering protocol (EADC) which is commonly employed for balancing the energy consumption in non-uniformly deployed sensor networks. In the EADC, residual energy is considered as the primary clustering parameter and the clusters are constructed using uniform competition radius. However in non-uniform node distribution scenarios, more energy imbalance occurs in the network due to variation in intracluster energy consumption. For counter balancing it, an inter-cluster energy-efficient multi-hop routing protocol is utilized. In the EADC protocol, cluster heads select the relay node based on residual energy and cluster member count information. But this approach is less efficient in energy balancing. In this paper, an improved energy aware distributed equal clustering protocol is projected. Our scheme considers the relay metric directly in terms of energy expense in relaying the sensed data to the base station taking into account not only the residual energy and member count information but also distance information. It provides better balancing of energy in comparison with the existing approach. Three different scenarios created by varying node distribution are used for evaluating the performance of the proposed protocol and comparison is made with the EADC protocol. The results show that the proposed scheme extends network lifetime in all the scenarios.