EEGRA: Energy Efficient Geographic Routing Algorithms for Wireless Sensor Network

2012 ◽  
Author(s):  
Tseng-Yi Chen ◽  
Hsin-Wen Wei ◽  
Che-Rung Lee ◽  
Fu-Nan Huang ◽  
Tsan-Sheng Hsu ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Geographic Routing ◽  
Routing Algorithms ◽  
Wireless Sensor

ENERGY EFFICIENT GEOGRAPHIC ROUTING ALGORITHMS IN WIRELESS SENSOR NETWORK

2013 ◽  
Vol 14 (01) ◽  
pp. 1350001 ◽  
Author(s):  
TSENG-YI CHEN ◽  
HSIN-WEN WEI ◽  
CHE-RUNG LEE ◽  
FU-NAN HUANG ◽  
TASN-SHENG HSU ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Power Consumption ◽  
Sensor Network ◽  
Energy Efficient ◽  
Geographic Routing ◽  
Routing Algorithms ◽  
Wireless Sensor ◽  
Routing Methods ◽  
Computation Speed

Over the past decade, energy efficiency has consistently been a critical research topic in the field of wireless sensor networks. In wireless networks, signal interference often leads to power waste in a sensor node. Several SINR-based routing algorithms designed for energy efficiency or interference avoidance had been proposed. However, they are either too complex to be useful in practices or may slow in routing computation speed. In this paper, two energy efficient geographic routing algorithms (EEGRA) for wireless sensor network are proposed to address the power consumption issue while considering the routing computation speed. The first algorithm take the value of interference into the routing cost function, and uses it in the routing decision. The second algorithm transforms the problem into a constrained optimization problem, and solves it by searching the optimal discretized interference level. We adopt four geographic routing algorithms: GOAFR+, Face Routing, GPSR, and RandHT, in EEGRA algorithms and compare them with three other routing methods in terms of power consumption and computation cost for the grid and irregular sensor topologies. The experimental result shows that the EEGRA algorithms reduce energy consumption by 30–50% comparing to geographic routing methods. In addition, the time complexity of EEGRA algorithms is similar to the geographic greedy routing methods, which is much faster than the optimal SINR-based algorithm.

scholarly journals Survey on wireless sensor networks: energy efficient optimization routing algorithms

2020 ◽  
Vol 19 (2) ◽  
pp. 756
Author(s):  
V. Sivasankarareddy ◽  
G. Sundari
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Energy Efficient ◽  
Routing Algorithms ◽  
Optimization Techniques ◽  
Wireless Sensor ◽  
Wireless Sensing ◽  
Swarm Optimization ◽  
Data Extracting

Wireless Sensor Network is extensively utilized in numerous places, such as protection surveillance. In Wireless Sensor Network, sensing unit networks are particular arbitrarily in addition to likewise in-network relying upon the technique is used to extend the network. As sensing unit nodes make use of strength from batteries for noticing the facts in addition to forwarding data, it uses the capability for those answers. The sizable troubles in cordless networks include power optimization, protection, directing, and project type. In this paper, current procedures in escaping power utilization of Wireless Sensor Network in addition to distinctive protocols and also Methods are researched. Additionally, destiny research have a look at on strength efficiency in Wireless Sensor Network putting forward new terms as well as targets for in addition examination is mentioned. Depiction of optimizing strategies like particle swarm optimization set of rules as well as ant swarm optimization Formula is already possible for lowering the electricity loss and complements the life of sensor community but those strategies take in greater time. This paper gives surveying extraordinary different optimization techniques below the multi-objective facet that takes region in tradeoffs. Information extracting in sensing unit networks is the technique of obtaining software-enabled plans in addition to patterns with gratifying accuracy from a constant, speedy, in addition to probable non-ended flow of facts streams from sensor networks. Various boundaries in preceding optimization Algorithms and suggesting a great deal better treatment through applying Data extracting Strategies for Wireless Sensing unit Networks is carried out.

scholarly journals A Survey on hierarchical cluster-based energy efficient routing protocol for wireless sensor networks

2018 ◽  
Vol 7 (2.8) ◽  
pp. 216 ◽  
Author(s):  
Humera Khan
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Hierarchical Cluster ◽  
Routing Algorithms ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Efficient Routing

Wireless Sensor Network is a widely growing field and it comprises of tiny sensor nodes. These sensor nodes are distributed in the environment spatially. They are capable of sensing the environment, gathering the information and processing it. Each sensor node collaborate with other sensor nodes for processing the information. Sensor nodes have very limited resources available for their operation. For the purpose of consuming resources in an efficient way several routing algorithms are employed. Here the focus is mainly on hierarchical cluster based routing techniques. In this paper we provide an introduction for wireless sensor network, the requirement for reduction in energy consumption of sensor nodes and some of the already existing energy efficient routing protocols of wireless sensor network.

scholarly journals Network Coding- Based Energy-Efficient Geographic Routing Protocols in Wireless Sensor Networks Using XOR

2021 ◽  
Vol 9 (12) ◽  
pp. 1800-1810
Author(s):  
Sreevidya VK
Keyword(s):  
Wireless Sensor Network ◽  
Network Coding ◽  
Sensor Network ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Network Architecture ◽  
Geographic Routing ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Awareness

Abstract: Energy awareness is an essential design issue in wireless sensor network. Therefore, attention must be given to the routing protocols since they might differ depending on the application and network architecture. It is desired to design the energy efficient routing protocols to conserve the power supply of sensor node and prolong its lifetime. In this paper Network Coding-Energy efficient geographic routing protocol (NC-EGRPM) in Wireless Sensor network is an energy efficient scheme which prolong the network life time using the mobile sinks. These algorithms focus on the efficiency of network coding, which could be adoptive, flexible, and intelligent enough to distribute the load among the sensor nodes that can enhance the network lifetime. By using NC (Network Coding), we propose an energy efficienct algorithm to handle uncertain level decision better than other models. We also use the concept of XOR encoding and decoding as a mechanism not only for enhancing energy efficiency but also for reducing the end-to-end-delay. XOR-based coding works on a hop-by-hop basis, i.e. packets encoded by a node are decoded by its neighbouring nodes. The idea is that each node v can combine packets using bitwise XOR operations in order to produce an encoded packet. We are implementing our proposed work using NS2 and measure its performance. Keywords: Network coding, XOR, NS2, WSN

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