Routing Protocol for Wireless Sensor Network Considering Data Transmission Stability and Load Quantity

Optimizing the energy consumption of sensor node and prolonging the network lifetime are the key steps to enable the wireless sensor network to enter into practical applications. This paper focuses on studying the energy efficient wireless sensor network routing protocol from the perspective of node energy consumption efficiency and balance, designing the Energy Balanced Adaptive Clustering Hierarchical Protocol (EBACH) and two-layer transceiver model, improving data transmission process to conform to the energy-saving principle of wireless multi-hop data transmission, and analyzing the feasibility and accuracy of the algorithm through simulation.

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Application of Improved Ant Colony Algorithm Technology in Development of Routing Protocol in Wireless Sensor Network

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.685.583 ◽

2014 ◽

Vol 685 ◽

pp. 583-586

Author(s):

Tian Jun Lu ◽

Yue Wang

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Routing Protocol ◽

Data Transmission ◽

Ant Colony Algorithm ◽

Network Routing ◽

Ant Colony ◽

Wireless Sensor ◽

Simulation Results ◽

Improved Ant Colony Algorithm

This paper discusses the relevant theoretical problems of ant colony algorithm, analyzes the defects of the traditional ant colony algorithm, and proposed an improved ant colony algorithm to solve these problems. Wireless sensor network routing should satisfy both to ensure data transmission and reduce the amount of communication requirements. The paper presents development of routing protocol for wireless sensor network based on improved ant colony algorithm technology. The simulation results show the effectiveness of this algorithm.

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Reliable Data Transmission using Efficient Neighbor Coverage Routing Protocol in Wireless Sensor Network

Indian Journal of Science and Technology ◽

10.17485/ijst/2014/v7i12.15 ◽

2014 ◽

Vol 7 (12) ◽

pp. 2118-2123 ◽

Cited By ~ 1

Author(s):

M. Vinothini

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Routing Protocol ◽

Data Transmission ◽

Reliable Data ◽

Wireless Sensor

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A Research on Clustering Based Optimized Routing Protocols in Wireless Sensor Network

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.b1201.0782s319 ◽

2019 ◽

Vol 8 (2S3) ◽

pp. 1072-1077

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Routing Protocol ◽

Data Transmission ◽

Clustering Algorithms ◽

Critical Role ◽

Wireless Sensor ◽

Network Environment ◽

Security Issues ◽

Clustering Approach

Routing in wireless sensor network environment plays a critical role where it might be affected by various factors which would lead to data transmission failure/corruption. Energy is the most concerned factor which affects the routing task mostly due to their limited availability. Thus routers require most efficient routing protocol which can perform data communication with less energy consumption. This routing protocol should be capable of adapting critical conditions happening on routers. Another problem that is mostly found on routing task is security. The security issues created by the hackers would corrupt/steal the data when it is being transmitted to the destination nodes. The routing protocol should also capable of tolerating the security issues and needs to ensure the successful data transmission. In this analysis work, various hierarchical clustering algorithms that are proposed for grouping the wireless sensor nodes those is present in the environment is discussed. The clustering that can be applied on both heterogeneous and homogeneous wireless network environment is discussed. The operation and functionality of each clustering algorithms are given in depth to understand the routing skill of each nodes. The merits and demerits that are present in the every clustering algorithm are presented to find the better clustering approach. The experimental analysis of every algorithm are done and compared in terms of various performance measures to find the better clustering approach that can be utilized for further scenario.

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