An Improved PEGASIS Protocol for Wireless Sensor Network

Li, Tao; Ruan, Feng; Fan, Zhiyong; Wang, Jin; Kim, Jeong-Uk

doi:10.1109/comcoms.2015.20

Cited by 11 publications

(7 citation statements)

References 4 publications

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“…The goal of their work was to save the sensor nodes energy consumption regardless of the other consequences on the network performance. However, many research have been done to improve the chain-based routing and overcome the deficiencies in PEGASIS protocol such as in [6][7][8][9][10][11]. One of these improvements was by IEEPB protocol.…”

Section: Pegasis Protocolmentioning

confidence: 99%

Comparison by simulation of PEGASIS and IEEPB routing protocols

Alnajdi

Bajaber

2019

IJEECS

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<span>As the applications of wireless sensor networks (WSNs) became widely used throughout the years the importance of advanced sensor networks techniques increased as well. One of the main techniques used in WSNs is hierarchical routing which mainly aims to reduce the consumption of sensor nodes energy by assigning different roles to the sensor nodes to create multi-layer scheme for data transmission. This paper embraces a simulation for two known hierarchical routing protocols: Power-Efficient Gathering in Sensor Information Systems (PEGASIS) protocol and an Improved Energy-Efficient PEGASIS-Based (IEEPB) protocol. Both protocols aim to reduce the transmission distance in order to save the nodes energy by performing chain-based clustering. For evaluation, we measured the residual energy and control overhead throughout the network operation time and the results showed major flaws in both protocols such as long link problem and poor leader selection method in PEGASIS. Moreover, high nodes density problem in IEEPB.</span>

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Section: Pegasis Protocolmentioning

confidence: 99%

Comparison by simulation of PEGASIS and IEEPB routing protocols

Alnajdi

Bajaber

2019

IJEECS

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“…Over the last decade, a significant number of routing algorithms based on ACO have been developed to address the challenges in WSN. Examples include the approaches from various research papers [ 2 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]. Because limited energy is the most critical issue affecting WSNs performance, many of these research works focus mainly on how to use the limited energy of WSNs to maximize the network lifetime, which has been seen as the all-important problem of WSN routing design.…”

Section: Related Workmentioning

confidence: 99%

“…The evaluation metric values, including the number of messages delivered to the sink node, an average cost of message, a packet loss rate, and the time of death of the first sensor node, have demonstrated the proposal is effective. Li et al [ 22 ] utilized the ACO and borrowed an neural network (NN) rather than the greedy algorithm to build their chain of PEGASIS. The chain makes a path to send data to the BS more evenly distributed and reduces the total transmission distance much less.…”

Section: Related Workmentioning

confidence: 99%

An Effective Hybrid Routing Algorithm in WSN: Ant Colony Optimization in combination with Hop Count Minimization

Jiang

Zheng

2018

Sensors

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Low cost, high reliability and easy maintenance are key criteria in the design of routing protocols for wireless sensor networks (WSNs). This paper investigates the existing ant colony optimization (ACO)-based WSN routing algorithms and the minimum hop count WSN routing algorithms by reviewing their strengths and weaknesses. We also consider the critical factors of WSNs, such as energy constraint of sensor nodes, network load balancing and dynamic network topology. Then we propose a hybrid routing algorithm that integrates ACO and a minimum hop count scheme. The proposed algorithm is able to find the optimal routing path with minimal total energy consumption and balanced energy consumption on each node. The algorithm has unique superiority in terms of searching for the optimal path, balancing the network load and the network topology maintenance. The WSN model and the proposed algorithm have been implemented using C++. Extensive simulation experimental results have shown that our algorithm outperforms several other WSN routing algorithms on such aspects that include the rate of convergence, the success rate in searching for global optimal solution, and the network lifetime.

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“…There are various improved versions of PEGASIS available. In [14], Li et al have proposed an ant colony algorithm to form the chain instead of greedy algorithm. Feng et al have proposed another improved version of PEGASIS, which they named IEEPB (Improved Energy-Efficient PEGASIS-Based Protocol) [15].…”

Section: • Leach Protocolmentioning

confidence: 99%

Prolonging Wireless Sensor Network Lifetime Using Routing Protocol

Salam¹,

Varnavas

Maddireddy³

2018

2018 6th IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)

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Prolonging network lifetime is one of the challenging issues of Wireless Sensor Networks (WSN). Many techniques have been proposed to achieve a longer battery life for the sensor nodes. In this paper, we focus on the routing technique to improve the battery life and extend the network lifetime. Our protocol is based upon the two existing protocols, namely, LEACH (Low-Energy Adaptive Clustering Hierarchy) and PEGASIS (Power Efficient GAthering in Sensor Information Systems). By combining these two basic routing techniques, we propose a new protocol which provides an increase in network lifetime compared to the existing basic protocols.

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An Improved PEGASIS Protocol for Wireless Sensor Network

Cited by 11 publications

References 4 publications

Comparison by simulation of PEGASIS and IEEPB routing protocols

Comparison by simulation of PEGASIS and IEEPB routing protocols

An Effective Hybrid Routing Algorithm in WSN: Ant Colony Optimization in combination with Hop Count Minimization

Prolonging Wireless Sensor Network Lifetime Using Routing Protocol

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