Research on Energy Aware Routing for Wireless Sensor Networks

2013 ◽  
Vol 303-306 ◽  
pp. 191-196
Author(s):  
Wei Zhang ◽  
Ling Hua Zhang
Keyword(s):  
Energy Consumption ◽  
Optimal Path ◽  
Critical Issue ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Energy Aware ◽  
Energy Aware Routing ◽  
Transmission Energy Consumption ◽  
Transmission Energy ◽  
Improved Algorithm

Energy aware routing is a critical issue in WSN. Prior work in energy aware routing concerned about transmission energy consumption and residual energy, but often do not consider path hop length, which leads to unnecessary consumption of power at sensor nodes. Improved algorithm adds the control of routing hops. Simulation proof the improved algorithm is feasible, effectively reducing the network delay and the path of energy consumption. Taking into account the WSN is dynamic, in the end we put up dynamic hops control in order to adapt to WSN and select the optimal path.

Performance study and critical review on energy aware routing protocols in mobile sink based WSNs

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Aparna Ashok Kamble ◽  
Balaji Madhavrao Patil
Keyword(s):  
Wireless Networks ◽  
Energy Consumption ◽  
Routing Protocols ◽  
Mobile Sink ◽  
Sensor Nodes ◽  
Delivery Ratio ◽  
Optimization Approach ◽  
Performance Study ◽  
Energy Aware ◽  
Energy Aware Routing

Abstract Wireless networks involve spatially extended independent sensor nodes, and it is associated with each other’s to preserve and identify physical and environmental conditions of the particular application. The sensor nodes batteries are equipped with restricted energy for working with an energy source. Consequently, efficient energy consumption is themain important challenge in wireless networks, and it is outfitted witharestricted power storage capacity battery. Therefore, routing protocol with energy efficiency is essential in wireless sensor network (WSN) to offer data transmission and connectivity with less energy consumption. As a result, the routing scheme is the main factor for decreasing energy consumption and the network's lifetime. The energy-aware routing model is mainly devised for WSN with high network performance when transmitting data to a sink node. Hence, in this paper, the effectiveness of energy-aware routing protocols in mobile sink-based WSNs is analyzed and justified. Some energy-aware routing systems in mobile sink-based WSN techniques, such as optimizing low-energy adaptive clustering hierarchy (LEACH) clustering approach, hybrid model using fuzzy logic, and mobile sink. The fuzzy TOPSIS-based cluster head selection (CHS) technique, mobile sink-based energy-efficient CHS model, and hybrid Harris Hawk-Salp Swarm (HH-SS) optimization approach are taken for the simulation process. Additionally, the analytical study is executed using various conditions, like simulation, cluster size, nodes, mobile sink speed, and rounds. Moreover, the performance of existing methods is evaluated using various parameters, namely alive node, residual energy, delay, and packet delivery ratio (PDR).

scholarly journals Identifying Faulty Nodes in Wireless Sensor Network to Enhance Reliability

2019 ◽  
Vol 8 (2) ◽  
pp. 1727-1731 ◽  
Keyword(s):  
Residual Energy ◽  
Initial Energy ◽  
Sensor Nodes ◽  
Reliable Communication ◽  
End To End Delay ◽  
Source To Sink ◽  
Secure Data Transmission ◽  
Energy Consumption Balancing ◽  
Transmission Energy Consumption ◽  
Transmission Energy

WSN having several major issues to deliver information from source to sink. Such that secure data transmission, energy consumption, balancing the load and fault tolerance will be the major tasks. In the WSN, one node communicates with its neighbour nodes with limited energy source. So if any node does not work properly or become faulty nodes, which have less initial energy level, bandwidth to communicate with faulty nodes. Hence there is a need of system which can overcome with fault and give the reliable communication. Fault may also occur due to the dislocation of sensor nodes, battery depletion or instability of transmission medium.This proposed work will identify the faulty nodes and calculate the end to end delay as well as residual energy. Hence a reliable communication for all nodes in the WSN can be attained.

Small-GEAR in the Specific Scenarios of Small Network

2013 ◽  
Vol 475-476 ◽  
pp. 936-944
Author(s):  
Xun Wang ◽  
Ling Hua Zhang
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Routing Protocol ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Hop Count ◽  
Energy Aware Routing ◽  
The Cost ◽  
Entire Network

GEAR is an important geographic and energy aware routing protocol in wireless sensor network. As the GEAR is short of enough topology knowledge and the nodes energy is limited, routing void and routing loop will be arisen. This paper presents a smart energy aware routing protocol based on the geographic (SGEAR), which is suitable for the specific scenarios of small network. In the specific scenarios of small network, there are three major nodes to concentrate on, (1) the selected (2) the void (3) the residual energy is less than threshold. The SGEAR modifies the cost functions based on the residual energy, escaping the routing loop caused by the broadcast delay. From the simulations, the conclusions can be drawn that the smaller hop count doesnt indicate the less energy consumption, and SGEAR can reduce the void number, reducing the energy consumption of the entire network, which further prolongs the life of the network to satisfy the need of the specific scenarios of small network.

scholarly journals EARPC – Energy Aware Routing Protocol for Cooperative MIMO Scheme in WSNs

2020 ◽  
Vol 3 ◽  
pp. 22-27
Author(s):  
Kummathi Chenna Reddy ◽  
Geetha D. Devanagavi ◽  
Thippeswamy M. N.
Keyword(s):  
Energy Consumption ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Energy Levels ◽  
Routing Algorithm ◽  
Cluster Head ◽  
Sensor Nodes ◽  
Energy Aware ◽  
Energy Efficient Routing ◽  
Energy Aware Routing

Wireless sensor networks are typically operated on batteries. Therefore, in order to prolong network lifetime, an energy efficient routing algorithm is required. In this paper, an energy-aware routing protocol for the co-operative MIMO scheme in WSNs (EARPC) is presented. It is based on an improved cluster head selection method that considers the remaining energy level of a node and recent energy consumption of all nodes. This means that sensor nodes with lower energy levels are less likely to be chosen as cluster heads. Next, based on the cooperative node selection in each cluster, a virtual MIMO array is created, reducing uneven distribution of clusters. Simulation results show that the proposed routing protocol may reduce energy consumption and improve network lifetime compared with the LEACH protocol

scholarly journals IoT Enabled Cluster Based Energy Aware Routing Protocol In WSN

2021 ◽  
pp. 93-102
Author(s):  
Steffi R
Keyword(s):  
Energy Efficient ◽  
Network Reliability ◽  
Data Communication ◽  
Residual Energy ◽  
Efficient Solutions ◽  
Sensor Nodes ◽  
Data Delivery ◽  
Energy Aware ◽  
Hop Count ◽  
Energy Aware Routing

Because of the unpredictable nature of sensor nodes, propagating sensory data raises significant research challenges in Wireless Sensor Networks (WSNs). Recently, different cluster-based solutions are designed to improve network stability and lifetime. However, most energy-efficient solutions are developed for homogeneous networks and uses only a distance parameter for data communication. Although, some existing solutions are attempted to improve the selection of next-hop based energy factor. Nevertheless, such solutions are unstable and lack reduce data delivery interruption in overloaded links. Our proposed solution aims to develop Reliable Cluster-based Energy-aware Routing (RCER) protocol for heterogeneous WSN which lengthens network lifetime and decreases routing cost. Our proposed RCER protocol makes use of heterogeneity nodes concerning their energy and comprises of two main phases; firstly, the network field is parted in geographical clusters to make the network more energy-efficient and secondly; RCER attempts optimum routing for improving the next-hop selection by considering residual-energy, hop-count and weighted value of Round-Trip Time (RTT) factors. Moreover, RCER restores routing paths and provides network reliability with improved data delivery performance. Simulation results demonstrate significant development of RCER protocol against their competing solutions.

DELAY-ENERGY AWARE ROUTING PROTOCOL FOR HETEROGENEOUS WIRELESS AD HOC NETWORKS

2006 ◽  
Vol 07 (01) ◽  
pp. 37-49 ◽  
Author(s):  
ARJAN DURRESI ◽  
VAMSI PARUCHURI ◽  
MIMOZA DURRESI ◽  
LEONARD BAROLLI
Keyword(s):  
Energy Consumption ◽  
Ad Hoc Networks ◽  
Wireless Ad Hoc Networks ◽  
Ad Hoc ◽  
Packet Delay ◽  
Sensor Nodes ◽  
Energy Aware ◽  
Wide Range ◽  
Energy Aware Routing ◽  
Hoc Networks

We present Delay-Energy Aware Routing (DEAP) a novel protocol for heterogeneous wireless ad hoc networks. DEAP is a crosslayer scheme that: first, manages adaptively the energy control by controlling the wakeup cycle of sensors based on the experienced packet delay; and second, rout packet in each hoc by distributing the load a group of neighboring nodes. The primary result of DEAP is that it enables a flexible and wide range of tradeoffs between the packet delay and the energy consumption. Therefore, DEAP supports delay sensitive applications of heterogeneous networks that include sensors and actors. DEAP is scalable to the change in network size, node type, node density and topology. DEAP accommodates seamlessly such network changes, including the presence of actors in heterogeneous sensor networks. Indeed, while DEAP does not count on actors, it takes advantage of them, and uses their resources when possible, thus reducing the energy consumption of sensor nodes. Through analysis and simulation evaluations, we show that DEAP improves the packet delay and network lifetime compared to other protocols.

scholarly journals An Adaptive Buffer tradeoff, energy-aware Congestion Control protocol in WSN

2021 ◽  
Vol 12 (3) ◽  
pp. 4880-4891
Author(s):  
M. Sri Lakshmi Et. al.
Keyword(s):  
Energy Consumption ◽  
Congestion Control ◽  
Residual Energy ◽  
Vital Role ◽  
Sensor Nodes ◽  
Data Loss ◽  
Energy Aware ◽  
End To End Delay ◽  
Adequate Communication ◽  
Control Management

In a Wireless sensor network, network lifetime plays a vital role, wherein regular communication and sensor nodes are positioned at different points. Nodes energy depletion may lead to communication interruption due to unlimited data flow from one point to another; for adequate communication, Nodes energy should be maximized by arranging cutting-edge techniques such as adaptive buffer switching and congestion control significant role. When the incoming data is more wide-ranging than available resources, a congestion situation arises. It results in energy consumption, loss of packets, buffer overflow, and raises end-to-end delay. In this paper, adaptive buffer switching and Congestion Control management are done effectively. Simultaneously, congestion detects based on residual energy, residual buffer space, and sensor nodes conviction level. This methodology shows based on the evaluation of cost, which selects main and spare buffers adaptively. Dynamic buffer switching and swapping are used to enhance the outcome of congestion. Result of the ABETCC approach is compared with the protocol like TCEER and TFCC compared to the data loss ratio and energy consumption

scholarly journals Energy Consumption Based Low Energy Aware Gateway (LEAG) Protocol in Wireless Sensor Networks

2019 ◽  
Vol 8 (5S3) ◽  
pp. 128-132 ◽  
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Cluster Head ◽  
Base Station ◽  
Low Energy ◽  
Secure Routing ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Aware

Wireless Sensor Networks (WSN) consists of a large amount of nodes connected in a self-directed manner. The most important problems in WSN are Energy, Routing, Security, etc., price of the sensor nodes and renovation of these networks is reasonable. The sensor node tools included a radio transceiver with an antenna and an energy source, usually a battery. WSN compute the environmental conditions such as temperature, sound, pollution levels, etc., WSN built the network with the help of nodes. A sensor community consists of many detection stations known as sensor nodes, every of which is small, light-weight and portable. Nodes are linked separately. Each node is linked into the sensors. In recent years WSN has grow to be an essential function in real world. The data’s are sent from end to end multiple nodes and gateways, the data’s are connected to other networks such as wireless Ethernet. MGEAR is the existing mechanism. It works with the routing and energy consumption. The principal problem of this work is choosing cluster head, and the selection is based on base station, so the manner is consumes energy. In this paper, develop the novel based hybrid protocol Low Energy Aware Gateway (LEAG). We used Zigbee techniques to reduce energy consumption and routing. Gateway is used to minimize the energy consumption and data is send to the base station. Nodes are used to transmit the data into the cluster head, it transmit the data into gateway and gateway compress and aggregate the data then sent to the base station. Simulation result shows our proposed mechanism consumes less energy, increased throughput, packet delivery ration and secure routing when compared to existing mechanism (MGEAR).

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