Development of a New Routing Protocol Based on GPSR for Wireless Sensor Networks

2014 ◽  
Vol 644-650 ◽  
pp. 2973-2977
Author(s):  
Cui Fang Xing ◽  
Lin Yang ◽  
Qing Long Han
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Simulation Analysis ◽  
Routing Algorithm ◽  
Wireless Sensor ◽  
Optimization Strategy ◽  
Selection Algorithm ◽  
Single Node ◽  
System Energy ◽  
Entire Network

GPSR routing protocol is incapable of controlling the energy consumption of single node, causing network monitoring loophole. In the current study, a new routing algorithm NEWGPSR was developed from by original GPSR protocol with the introduction of LEACH clustering thought and the improvement of its head selection algorithm, appending active excitation mode, the heuristic rules and local optimization strategy, improving surrounding forward mode.Results of simulation analysis using NS3 platform showed that the new NEWGPSR algorithm was capable of effectively reducing system energy consumption, prolonging the network life cycle, and improving the performance of the entire network.

Research and Improvement about LEACH Routing Protocol for Wireless Sensor Networks

2012 ◽  
Vol 241-244 ◽  
pp. 1028-1032
Author(s):  
Li Wang ◽  
Qi Lin Zhu
Keyword(s):  
Routing Protocol ◽  
Routing Algorithm ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Cluster Head Selection ◽  
Selection Algorithm ◽  
Energy Factor ◽  
Random Cluster ◽  
Simulation Results ◽  
Node Energy

In recent years, as the development of wireless sensor network, people do some deep researches on cluster-based protocol, most around the prolongation of the lifetime of WSN and decline of energy consumed by the sensors. This paper analyses of classical clustering routing protocol based on LEACH, aiming at the node energy foot presents energy improved clustering routing algorithm, the random cluster head selection algorithm of threshold to be changed, lowering the threshold, in the original threshold increases the node's remaining energy factor, reduces the communication load of cluster nodes, and simulation. The simulation results show that the LEACH-E improved algorithm, energy saving, reducing balance node energy consumption, effectively prolongs the network lifetime.

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

2018 ◽  
pp. 327-336 ◽  
Author(s):  
Funom Samuel Dadah ◽  
Ajayi Ore-Ofe ◽  
Aliyu D Usman ◽  
Y A Mshelia ◽  
M O Babatunde
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Routing Algorithm ◽  
Base Station ◽  
Energy Threshold ◽  
Wireless Sensor ◽  
Data Packets

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).

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 An Enhanced Energy Optimization Routing Protocol with Fuzzy Logic in Wireless Sensor Network

2020 ◽  
Vol 9 (5) ◽  
pp. 1200-1206
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Routing Algorithm ◽  
Packet Transmission ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Intermediate Node

Wireless Sensor Network (WSN) is a huge collection of sensor nodes deployed without any predetermined infrastructure. They are powered by batteries and energy consumption is one of the major issues in WSN. Hence to prolong the lifetime of the networks, it is important to design the energy efficient optimized routing algorithm. In this paper, two hop forwarding scheme in AODV and Fuzzy Logic is proposed to find an optimal routing protocol and intermediate node acknowledgement is deducted by the use of Fuzzy rules. The parameters such as remaining energy, data packet transmission, packet received acknowledgement and number of rounds is given as input to the fuzzy system which gives an optimized routing decision. The efficacy of the proposed algorithm is evaluated using NS2 and compared with Fuzzy-based Energy-Aware Routing Mechanism (FEARM). The simulation results shows that the Fuzzy based AODV routing algorithm reduces the energy consumption, minimizes the routing response packets and improves the network life time compared to other similar routing protocols.

Dynamic Multi-Hop Routing Protocol in Wireless Sensor Networks

2013 ◽  
Vol 442 ◽  
pp. 532-537
Author(s):  
Xian Li Li ◽  
Jia Wei Zhang ◽  
Liang Bing Liu
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Dominant Set ◽  
Leach Protocol ◽  
Balance Energy ◽  
Entire Network

Considering the shortage of LEACH protocol, a novel dynamic multi-hop routing protocol named Balance Energy-efficient and Real-time with Reliable communication protocol based on Connected Dominant Set (BERR-CDS) is proposed in this paper. BERR-CDS protocol fully takes account of the energy consumption of an individual node and entire network, a rational transmission path from source node to sink node is searched, aiming at the network topology changes which are caused by the death of cluster head, the invalidation of cluster member nodes and new nodes joining, BERR-CDS designs the corresponding valid mechanism to respond, and it can rapidly adapt to the topology change of network. Simulation results show that BERR-CDS protocol has better performances in term of energy consumption, network lifetime and reliability, it is an ideal routing protocol in wireless sensor networks.

scholarly journals Energy Optimization for WSN in Ubiquitous Power Internet of Things

2019 ◽  
Vol 14 (4) ◽  
pp. 503-517 ◽  
Author(s):  
Wei Hu ◽  
Huanhao Li ◽  
Wenhui Yao ◽  
Yawei Hu
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Internet Of Things ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Energy Optimization ◽  
Opportunistic Routing ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Single Node

This paper attempts to solve the problems of uneven energy consumption and premature death of nodes in the traditional routing algorithm of rechargeable wireless sensor network in the ubiquitous power Internet of things. Under the application environment of the UPIoT, a multipath routing algorithm and an opportunistic routing algorithm were put forward to optimize the network energy and ensure the success of information transmission. Inspired by the electromagnetic propagation theory, the author constructed a charging model for a single node in the wireless sensor network (WSN). On this basis, the network energy optimization problem was transformed into the network lifecycle problem, considering the energy consumption of wireless sensor nodes. Meanwhile, the traffic of each link was computed through linear programming to guide the distribution of data traffic in the network. Finally, an energy optimization algorithm was proposed based on opportunistic routing, in a more realistic low power mode. The experimental results show that the two proposed algorithms achieved better energy efficiency, network lifecycle and network reliability than the shortest path routing (SPR) and the expected duty-cycled wakeups minimal routing (EDC). The research findings provide a reference for the data transmission of UPIoT nodes.

scholarly journals A grid-based reliable multi-hop routing protocol for energy-efficient wireless sensor networks

2018 ◽  
Vol 14 (3) ◽  
pp. 155014771876596 ◽  
Author(s):  
Zhansheng Chen ◽  
Hong Shen
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Routing Algorithm ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Data Forwarding ◽  
Reliable Transmission ◽  
Grid Based

Due to the limited energy and the non-equivalence of wireless sensor network nodes, it is imperative to reduce and rationally use the energy consumption of the nodes to prolong the network lifetime. Clustering routing algorithm can address the problem efficiently. In this article, a grid-based reliable multi-hop routing approach for wireless sensor networks is proposed. In order to minimize and balance the energy consumption, our proposed protocol, grid-based reliable multi-hop routing protocol, optimizes the cluster head election process by combining individual ability which consists of node’s residual energy and node’s location, and local cognition which can balance energy consumption among clusters via a consultative mechanism based on cluster head’s lifetime expectancy, while considering data forwarding delay and reliable transmission of data. Simulation results show that grid-based reliable multi-hop routing protocol has improved stability period as compared to other protocols. Meanwhile, grid-based reliable multi-hop routing protocol has better performance in energy efficiency, data forwarding delay, and reliable transmission of data.

Research on Energy-Saving Strategy for Wireless Sensor Networks

2010 ◽  
Vol 159 ◽  
pp. 733-738 ◽  
Author(s):  
Yuan Yuan Li
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Saving ◽  
Technology Use ◽  
Topology Control ◽  
Wireless Sensor ◽  
Optimization Strategy ◽  
Single Node ◽  
Save Energy

The wireless sensor networks have been extensively deployed and researched. One of the major issues in wireless sensor networks is the energy consumption program. In this paper, we analyzed the development status of wireless sensor networks and the problems,while proposed the network structure and energy model,then we discussed the energy saving strategies for wireless sensor networks from four aspects:First analysis the component of WSN protocol stack and the energy consumption;Second,we study the energy-saving strategy for a single node from the computing subsystem and the communication subsystem,and we introduce a new long-sleeping status to save energy through using Flag mark.Third is the energy-saving optimization strategy based on communication protocol which mainly discuss from MAC and routing protocols.Last,we discuss the topology control strategy for energy-saving and point out the importance of topology control technology. Use these strategies, we can significantly reduce the energy consumption of wireless sensor networks and extend the network life-cycle.

scholarly journals A Cluster-Based Routing Protocol and Fault Detection for Wireless Sensor Network

2021 ◽  
Vol 13 (04) ◽  
pp. 71-83
Author(s):  
Slaheddine Chelbi ◽  
Riadh Moussi
Keyword(s):  
Energy Consumption ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Wireless Sensors ◽  
Large Scale ◽  
Routing Algorithm ◽  
Data Accuracy ◽  
Wireless Sensor ◽  
Consumption Data ◽  
Sensor Devices

In Wireless Sensors Networks (WSN) based application, a large number of sensor devices must be deployed. Energy efficiency and network lifetime are the two most challenging issues in WSN. As a consequence, the main goal is to reduce the overall energy consumption using clustering protocols which have to ensure reliability and connectivity in large-scale WSN. This work presents a new clustering and routing algorithm based on the properties of the sensor networks. The main goal of this work is to extend the network lifetime via charge equilibration in the WSN. According to many errors with sensing devices and to have greater data accuracy, we use a quorum mechanism. The proposed algorithms are evaluated widely and the results are compared with related works. The experimental results show that the proposed algorithm provides an effective improvement in terms of energy consumption, data accuracy and network lifetime.

scholarly journals Swarm intelligence based reliable and energy balance routing algorithm for wireless sensor network

2016 ◽  
Vol 29 (3) ◽  
pp. 339-355
Author(s):  
Fatma Elfouly ◽  
Rabie Ramadan ◽  
Mohamed Mahmoud ◽  
Moawad Dessouky
Keyword(s):  
Energy Consumption ◽  
Swarm Intelligence ◽  
Routing Protocol ◽  
Routing Algorithm ◽  
Minimum Energy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Minimum Energy Consumption ◽  
Energy Balanced Routing ◽  
Memory Resources

Energy is an extremely crucial resource for Wireless Sensor Networks (WSNs). Many routing techniques have been proposed for finding the minimum energy routing paths with a view to extend the network lifetime. However, this might lead to unbalanced distribution of energy among sensor nodes resulting in, energy hole problem. Therefore, designing energy-balanced routing technique is a challenge area of research in WSN. Moreover, dynamic and harsh environments pose great challenges in the reliability of WSN. To achieve reliable wireless communication within WSN, it is essential to have reliable routing protocol. Furthermore, due to the limited memory resources of sensor nodes, full utilization of such resources with less buffer overflow remains as a one of main consideration when designing a routing protocol for WSN. Consequently, this paper proposes a routing scheme that uses SWARM intelligence to achieve both minimum energy consumption and balanced energy consumption among sensor nodes for WSN lifetime extension. In addition, data reliability is considered in our model where, the sensed data can reach the sink node in a more reliable way. Finally, buffer space is considered to reduce the packet loss and energy consumption due to the retransmission of the same packets. Through simulation, the performance of proposed algorithm is compared with the previous work such as EBRP, ACO, TADR, SEB, and CLR-Routing.

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