Lifetime enhancement by Cluster Head Cooperative Trustworthy Energy Efficient MIMO routing algorithm based on game theory for WSN

Recently, wireless sensor network (WSN) has drawn wide attention. It can be viewed as a network with lots of sensors that are autonomously organized and cooperate with each other to collect, process, and transmit data around targets to some remote administrative center. As such, sensors may be deployed in harsh environments where it is impossible for battery replacement. Therefore, energy efficient routing is crucial for applications that introduce WSNs. In this paper, we present an energy efficient routing schema combined with clustering and sink mobility technology. We first divide the whole sensor field into sectors and each sector elects a Cluster Head (CH) by calculating its members’ weight. Member nodes calculate energy consumption of different routing paths to choose the optimal scenario. Then CHs are connected into a chain using the greedy algorithm for intercluster communication. Simulation results prove the presented schema outperforms some similar work such as Cluster-Chain Mobile Agent Routing (CCMAR) and Energy-efficient Cluster-based Dynamic Routing Algorithm (ECDRA). Additionally, we explore the influence of different network parameters on the performance of the network and further enhance its performance.

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Clustered chain founded on ant colony optimization energy efficient routing scheme for under-water wireless sensor networks

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v11i6.pp5197-5205 ◽

2021 ◽

Vol 11 (6) ◽

pp. 5197

Author(s):

Djilali Moussaoui ◽

Mourad Hadjila ◽

Sidi Mohammed Hadj Irid ◽

Sihem Souiki

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Ant Colony Optimization ◽

Energy Efficient ◽

Routing Algorithm ◽

Cluster Head ◽

Head Rotation ◽

Ant Colony ◽

Wireless Sensor ◽

Energy Efficient Routing

One challenge in under-water wireless sensor networks (UWSN) is to find ways to improve the life duration of networks, since it is difficult to replace or recharge batteries in sensors by the solar energy. Thus, designing an energy-efficient protocol remains as a critical task. Many cluster-based routing protocols have been suggested with the goal of reducing overall energy consumption through data aggregation and balancing energy through cluster-head rotation. However, the majority of current protocols are concerned with load balancing within each cluster. In this paper we propose a clustered chain-based energy efficient routing algorithm called CCRA that can combine fuzzy c-means (FCM) and ant colony optimization (ACO) create and manage the data transmission in the network. Our analysis and results of simulations show a better energy management in the network.

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Survey on Multi-Hop Communication To Enhance The Efficiency Of Sensor Node in WSN

International Journal Of Engineering And Computer Science ◽

10.18535/ijecs/v7i2.12 ◽

2018 ◽

Vol 7 (02) ◽

pp. 23590-23595

Author(s):

Piyush Mahajan ◽

Navjeet Saini ◽

Deepak Kumar

Keyword(s):

Energy Efficient ◽

Sensor Node ◽

Selection Process ◽

Routing Algorithm ◽

Cluster Head ◽

Data Communication ◽

Residual Energy ◽

Cluster Head Selection ◽

Replacement Scheme ◽

Ch Selection

In WSN routing is the primary task for data communication between CHs to BS. The routing algorithm used should be energy efficient so that it can surmount related power constraints. As LEACH is energy efficient cluster based routing protocol used in Wireless sensor network, there are many version of LEACH one of them is MODLEACH. MODLEACH introducing efficient cluster head replacement scheme and dual transmitting power levels, However the efficiency of the MODLEACH can further be increased by introducing certain changes in the CH selection process and Multi-Hop communication between CH and BS. The cluster head selection is based on the probability and the threshold equation, but this may be problem for the next round. There is no concept that, it is based on nth power of energy conservation technique because cluster head selection not consider any energy based parameter like residual energy of sensor node to be formed as CH

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Routing Algorithm with Energy-Efficient and High Quality of Clusters in Wireless Sensor Network

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.989-994.1942 ◽

2014 ◽

Vol 989-994 ◽

pp. 1942-1945

Author(s):

Yun Hui Yi ◽

Run Liu Wang

Keyword(s):

Energy Efficient ◽

Average Distance ◽

Routing Algorithm ◽

Cluster Head ◽

Life Time ◽

Residual Energy ◽

Relative Distance ◽

Node Degree ◽

Degree Relative

This paper proposes an energy-efficient clustering routing algorithm based on the node degree, relative distance between nodes and residual energy. Selecting the cluster head fully consider the node degree and their relative distance. By this way, the coverage performance of cluster head is better and the average distance between member nodes and cluster head is short, so the cost of communication in the cluster is decreased. At the same time, the nodes with low energy have less probability to become the cluster head. Therefore, it can improve the quality of cluster; prolong the life time of the network.

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