Energy-efficient genetic algorithm variants of PEGASIS for 3D Wireless Sensor Networks

Somauroo, Aaqil; Bassoo, Vandana

doi:10.1016/j.aci.2019.07.002

Cited by 27 publications

(16 citation statements)

References 21 publications

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“…The work in [ 172 ] combines PEGASIS with Hamilton Loop algorithm, through a mixture of single-hop and multihop mechanisms, inserting a mobile agent node that is responsible for receiving and merging packets from the CHs. The authors in [ 173 ] also combines PEGASIS with a genetic algorithm to build the chain instead of the greedy algorithm.…”

Section: Energy Conservationmentioning

confidence: 99%

Current Trends on Green Wireless Sensor Networks

López-Ardao

Rodríguez-Rubio

Suárez-González

et al. 2021

Sensors

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The issue of energy balancing in Wireless Sensor Networks is a pivotal one, crucial in their deployment. This problem can be subdivided in three areas: (i) energy conservation techniques, usually implying minimizing the cost of communication at the nodes since it is known that the radio is the biggest consumer of the available energy; (ii) energy-harvesting techniques, converting energy from not full-time available environmental sources and usually storing it; and (iii) energy transfer techniques, sharing energy resources from one node (either specialized or not) to another one. In this article, we survey the main contributions in these three areas and identify the main trending topics in recent research. A discussion and some future directions are also included.

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Section: Energy Conservationmentioning

confidence: 99%

Current Trends on Green Wireless Sensor Networks

López-Ardao

Rodríguez-Rubio

Suárez-González

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…PEGASIS in WSN based on an improved ant colony algorithm (PEG-ant) protocol, which uses the ant colony algorithm to generate the routing chain connecting each node. PEGASIS in 3DWSN based on genetic algorithm (PEG-GA) [9] protocol improves the PEGASIS protocol in the 3D application environment, using a genetic algorithm instead of the greedy algorithm to link nodes into the chain to generate the node chain with the minimum length. Adaptive Periodic Threshold-sensitive energy-efficient sensor network (APTEEN) [10] protocol uses the ant colony algorithm to build multi-hop routing.…”

Section: Relative Workmentioning

confidence: 99%

Routing Clustering Protocol for 3D Wireless Sensor Networks Based on Fragile Collection Ant Colony Algorithm

et al. 2020

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Compared with two-dimensional wireless sensor networks (2DWSNs), three-dimensional wireless sensor networks (3DWSNs) have higher node energy consumption and weaker load balancing. To alleviate these problems, we propose a new multi-hop routing clustering protocol for a wide range of 3DWSNs. In terms of clustering, nodes will run for cluster head (CH) by timing broadcast based on their remaining energy and their average distance from surrounding nodes. Two new identity nodes are added between the CH and the member nodes, the load transfer node responsible for transferring the energy consumption of the CH, and the secondary cluster head node (SCH) acting as the CH for the next round. In order to reduce energy consumption in key node areas, we also enable key nodes to communicate directly with the sink node. In the aspect of routing construction, SN generates the routing table corresponding to each CH through our proposed fragile ant colony algorithm. Because CH and SCH exist at the same time and have a certain replacement order, the SN only needs to obtain the location of each CH when the network is first clustered, and can continuously generate a new routing table corresponding to the CH, which reduces the energy consumption of the network in the routing path construction. We simulate this protocol, LEACH protocol, AZ-SEP protocol, and UCNPD protocol in a three-dimensional environment. The results show that this protocol is better than the other three protocols in terms of network lifetime and network load balance, respectively. INDEX TERMS 3DWSNs, clustering algorithm, routing algorithm, network lifetime, network load balancing.

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“…In recent years, many new routing protocols have begun to apply mature path search algorithms to the routing construction of WSNs, such as Adaptive Periodic Threshold-sensitive energy-efficient sensor network (APTEEN) [21] protocol uses the ant colony algorithm to build multi-hop routing. And, PEGASIS in 3DWSN based on genetic algorithm (PEG-GA) [22] protocol improves the PEGASIS protocol in the 3D application (1) The network consists of a sink node and n ordinary nodes. (2) Ordinary nodes are randomly distributed in the region, and the initial energy is isomorphic and cannot be supplemented.…”

Section: Related Workmentioning

confidence: 99%

Seamless clustering multi-hop routing protocol based on improved artificial bee colony algorithm

Zhang

Chen

Zeng

et al. 2020

J Wireless Com Network

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An important issue in the mobile sink wireless sensor networks (MSWSNs) is sensor energy optimization. In order to alleviate the problem of unbalanced network load and high energy consumption in MSWSNs, we proposed a new data collection protocol in this paper: seamless clustering multi-hop routing protocol based on improved artificial bee colony algorithm (IABCP). Because of limited by the communication sensing range and intelligence of ordinary nodes, routing paths can only be constructed by crude methods. And the movement of the sink node will generate a large amount of energy consumption for locating the sink node. In order to solve this problem, we assign the task of routing table generation to the sink node, which will generate the routing table through the improved artificial bee colony algorithm. In addition, we adopt a new method to select cluster head (CH) nodes; node uses the average energy of the surrounding nodes and its own residual energy to calculate the claimed cluster head time. Moreover, we added a sub cluster head CH-β node. When the CH node reaches the number of replacement rounds, the CH-β node becomes CH directly. The simulation results show that our routing protocol is more robust compared with three other protocols.

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Energy-efficient genetic algorithm variants of PEGASIS for 3D Wireless Sensor Networks

Cited by 27 publications

References 21 publications

Current Trends on Green Wireless Sensor Networks

Current Trends on Green Wireless Sensor Networks

Routing Clustering Protocol for 3D Wireless Sensor Networks Based on Fragile Collection Ant Colony Algorithm

Seamless clustering multi-hop routing protocol based on improved artificial bee colony algorithm

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