Game Theory and Coverage Optimization Based Multihop Routing Protocol for Network Lifetime in Wireless Sensor Networks

Yao, Yindi; Li, Xiong; Cui, Yanpeng; Deng, Lang; Wang, Chen

doi:10.1109/jsen.2022.3178441

Cited by 19 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The nodes are heterogeneous in nature. Work presented in [27] by (K. Ali et al, 2017) [16] by (Naseer et al, 2020) [8] by (Sajwan et al, 2019) [29] by (Yao et al, 2022) focus on ad hoc deployments of wireless sensor networks in which the number of nodes are assumed to be 100 but the work presented in this study considers a heterogeneous group of nodes twice the size of the current studies and the reason for this is that these techniques mentioned above focus on either the optimized coverage or the routing of data to the control center or data offloading by the un manned aerial vehicles but not all in parallel. The network grid measure 400m 2 .…”

Section: Simmulation and Experimental Resultsmentioning

confidence: 99%

Energy efficient gateway based routing with maximized node coverage in a UAV assisted wireless sensor network

Ahmad,

Ahmed,

Anjum

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

Ad-hoc wireless sensor networks face challenges of optimized node deployment for maximizing coverage and efficiently routing data to control centers in post disaster events. These challenges impact the outcome for extending the lifetime of wireless sensor networks. This study presents a uav assisted reactive zone based EHGR (energy efficient hierarchical gateway routing protocol) that is deployed in a situation where the natural calamity has caused communication and infrastructure damage to a major portion of the sensor network. EHGR is a hybrid multi layer routing protocol for large heterogeneous sensor nodes (smart nodes, basic nodes, user handheld devices etc.) EHGR is tailored to meet two important concerns for a disaster hit wsn ie. optimized deployment and energy efficient routing. The first part of EGHR focuses on maximized coverage during node deployments. Maximized coverage is an important aspect to be considered during the event of disaster since most of the nodes loose coverage and are detached from the wireless sensor network. The first part of EHGR uses state of the art game theory approach to build a model that maximizes the coverage of nodes during the deployment phase from all participating entities i.e. nodes and uavs. Rather than fixing the cluster head as is the case in traditional cluster-based approaches EHGR uses the energy centroid nodes. Energy centroid nodes evolve on the basis of aggregated energy of the zone. This approach is superior to simply electing cluster head nodes on the basis of some probability function. The nodes that fail to achieve any successful outcome from the game theory matching model fail to get any association. These nodes will use multi hop d2d relay approach to reach the energy centroid nodes. Gateway relay nodes used with the game theory approach during the deployment of the uav assisted wsn improves the overall coverage by 25% against traditional leach based hierarchical approaches. Once the optimum deployment phase is completed the routing phase is initiated. Aggregated data is sent by the energy centroid nodes from the ECN nodes to the servicing micro controller enabled un manned aerial vehicles. The routing process places partial burden of zone formation and data transmission to the control center for each phase on the servicing uavs. Energy centroid nodes engage only in the data aggregation process and transmission of data to servicing uav. Servicing-uavs reduce energy dissipated of the entire zone which result in gradual decrease of energy for the zone thus increasing the network lifetime. Node deployment phase and the routing phase of EHGR utilize the computations provide by the mirco controller enabled unmanned aerial vehicles such that the computationally intensive calculations are offloaded to the servicing uav. Experiment results indicate an increase in the first dead node report, half dead node report, and last dead node report. Network lifetime is extended to approximately 1800 rounds which is an increase by ratio of 100% against the traditional leach approach and increase by 50% percent against the latest approaches as highlighted in the literature.

show abstract

Section: Simmulation and Experimental Resultsmentioning

confidence: 99%

Energy efficient gateway based routing with maximized node coverage in a UAV assisted wireless sensor network

Ahmad,

Ahmed,

Anjum

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…"Multi-hop routing protocol is built on game theory and coverage optimization (MRP-GTCO)" is studied in Ref. 95. To prohibit the data of cluster members from not being transferred owing to the selfishness of nodes will not become the CH in the current network, a punishment mechanism depending on node residual energy and node degree is developed.…”

Section: Comparative Study Of Enhanced Energy Efficient Protocols For...mentioning

confidence: 99%

A comprehensive review of energy efficient routing protocols for query driven wireless sensor networks

et al. 2023

View full text Add to dashboard Cite

In this current era of communications and networking, The Internet of things plays the main role in the making of smart communication and networking. In this article, we have focused on the literature survey on wireless sensor networks which are energy efficient. Various standard protocols are reviewed along with some enhanced protocols which makes the network energy efficient. The comparison of the standard and enhanced protocols with respect to various applications in wireless sensor networks is thoroughly done in this article. The outcomes of the enhanced protocols are also briefly discussed. For easier analysis to future researchers, a comparative table which lists the enhanced protocols which are compared with standard counterparts along with the factors for energy efficiency of the protocols. This article also comments on the issues and challenges of the protocols which can be further analyzed for making the wireless sensor network more energy efficient.

show abstract

“…Yao, Y.D. et al [10] has proposed MRP-GTCO (Game Theory and Coverage Optimization Based Multihop Routing Protocol), here two new strategies are used for best clustering and data transmission. Clustering game theory is used here based on CROSS and LGCA protocols, in which the cluster head will be selected based on the residual energy or based on the number of neighboring nodes, if the node fails to accept the request, then it will be punished.…”

Section: Multi-hop Routing Protocolmentioning

confidence: 99%

A Review on Energy Efficient Routing Protocols and Security Techniques for Wireless Sensor Networks

Paruvathavardhini

Sargunam

Sudarmani

2023

AMM

View full text Add to dashboard Cite

Nowadays Wireless Sensor Networks (WSNs) are a very promising device to monitor environmental events, which are used in many application areas such as agriculture, environmental monitoring, air-water pollution, greenhouse, health monitoring, structural monitoring etc. Also, WSN needs effective and efficient way of collecting data from the area over which it is deployed, since the network consists of battery-operated nodes with limited energy. Improving the lifetime of WSN for continuous monitoring applications are very essential because of simple deployment, low installation cost, lack of cabling, and high mobility. The better energy conservation and reliable data transmission would be achieved in WSN by adopting efficient routing protocols for better and reliable communication. Also, security in data transmission in WSN is still a challenging task. Hence, a better way of encryption has to be computed to promote a reliable transmission between the nodes. In this paper discusses about different routing protocols which support energy efficiency and security techniques in WSN.

show abstract

Game Theory and Coverage Optimization Based Multihop Routing Protocol for Network Lifetime in Wireless Sensor Networks

Cited by 19 publications

References 25 publications

Energy efficient gateway based routing with maximized node coverage in a UAV assisted wireless sensor network

Energy efficient gateway based routing with maximized node coverage in a UAV assisted wireless sensor network

A comprehensive review of energy efficient routing protocols for query driven wireless sensor networks

A Review on Energy Efficient Routing Protocols and Security Techniques for Wireless Sensor Networks

Contact Info

Product

Resources

About