Opportunistic Routing Algorithm Based on Topological Time-varying and Residual-energy Balance in Wireless Sensor Network

2014 ◽  
Vol 35 (3) ◽  
pp. 715-720 ◽  
Author(s):  
Nan Ding ◽  
Guo-zhen Tan ◽  
Di You ◽  
Wei Zhang
Keyword(s):  
Wireless Sensor Network ◽  
Energy Balance ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Opportunistic Routing ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Time Varying

A Study on the Energy Balance Ant-Based Routing Algorithm for Wireless Sensor Network

2014 ◽  
Vol 986-987 ◽  
pp. 2104-2107
Author(s):  
Jing Han ◽  
Dong Ya Chen
Keyword(s):  
Wireless Sensor Network ◽  
Energy Balance ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Residual Energy ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Ant Colony Optimization Algorithm ◽  
Simulation Results ◽  
Dynamic Adaptability

How to make good use of the limited energy to maximize the network life span is an important problem of the wireless sensor network. The life of WSN depends on the minimum of the residual energy of its nodes. A fair energy balance routing algorithm is proposed which uses the Ant Colony Optimization Algorithm (ACO) to balance the network energy distribution and extend the network life. The proposed algorithm utilizes the dynamic adaptability and optimization capabilities of the Ant Colony to get a tread off between the shortest path and the fair energy balance. Simulation results show that the proposed algorithm is good at balancing the energy, and it effectively extends the span of the network life.

scholarly journals Totally opportunistic routing algorithm (TORA) for underwater wireless sensor network

PLoS ONE ◽  
2018 ◽  
Vol 13 (6) ◽  
pp. e0197087 ◽  
Author(s):  
Ziaur Rahman ◽  
Fazirulhisyam Hashim ◽  
Mohd Fadlee A. Rasid ◽  
Mohamed Othman
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Opportunistic Routing ◽  
Wireless Sensor

WN-LEACH: A Weighted Residual Energy Based Cluster-Heads Selection Algorithm for Wireless Sensor Network

2013 ◽  
Vol 765-767 ◽  
pp. 980-984
Author(s):  
Xi Rong Bao ◽  
Jia Hua Xie ◽  
Shuang Long Li
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Cluster Head ◽  
Residual Energy ◽  
Base Station ◽  
Wireless Sensor ◽  
Cumulative Number ◽  
Cluster Heads

This article focused on the energy limit property of Wireless Sensor Network, and proposed a residual energy based algorithm WN-LEACH, with the classic network mode of LEACH routing algorithm. The algorithm combines the proportion of residual energy in the total energy with the cumulative number of the normal nodes supported by the cluster heads as a cluster selection reference. In order to balance the energy consumption of each cluster-head, the algorithm took both the different positions of the base station and the initial energy of the network into consideration, and weighted the two factors to balance the energy consumption between transmitting the signals and data fusion. Simulation results show that the algorithm can promote the lifetime of the uneven energy network and does not impair the effects of the LEACH algorithm.

scholarly journals Normalized Advancement Based Totally Opportunistic Routing Algorithm With Void Detection and Avoiding Mechanism for Underwater Wireless Sensor Network

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 67484-67500 ◽  
Author(s):  
Ziaur Rahman ◽  
Fazirulhisyam Hashim ◽  
Mohd Fadlee A. Rasid ◽  
Mohamed Othman ◽  
Kamal Ali Alezabi
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Opportunistic Routing ◽  
Wireless Sensor ◽  
Void Detection

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.

A Dynamic Routing Path Reduction Protocol in Underwater Wireless Sensor Network

2020 ◽  
Vol 18 (5) ◽  
pp. 379-388
Author(s):  
N. Hemavathy ◽  
S. Sudha ◽  
K. Ramesh
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Performance Metrics ◽  
Routing Algorithm ◽  
Opportunistic Routing ◽  
Wireless Sensor ◽  
Energy Efficient Routing ◽  
Forwarding Set

Recently, underwater wireless sensor networks (UWSNs) have emerged as a promising networking technique for various underwater applications. An energy efficient routing protocol plays a vital role in data transmission and practical applications. However, due to the specific characteristics of UWSNs, such as dynamic structure, narrow bandwidth, rapid energy consumption, and high latency, it is difficult to build routing protocols for UWSNs. In this paper, We propose a location aware opportunistic routing algorithm for under water communication. We analyse three main problems in under water communication; forwarding set selection forwarding set ranking to handle FSR problem, void handling method to handle the communication void (CV) and overhear and suppression procedure to deal with duplicate forwarding suppression (DFS) problems. The importance of the work is that it will provide an energy efficient pressure based opportunistic routing algorithm for wireless sensor network (UWSN). The routing protocol has been implemented in the ns2-AqaSim simulator and testbed for measurement of the performance metrics of the UASN. The simulation results showed that the novel routing method throughput has increased by 16%, 33%, and 55% when compared with SUN, VBF and DF method. It can effectively improve the throughput of nodes, balance positioning performance as well as energy use efficiency, and optimize the positioning result of UWASN.

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