Energy conservation is a critical concern in wireless networks, especially when considering the Dynamic Load Balancing in Multipath zone-based Energy-Consuming Routing Protocol for Wireless Ad hoc Network (DLB-MERP) protocol. Several routing protocols have been developed to address both energy consumption and load balancing in MANETs. This section highlights previous research that focuses on energy-saving techniques combined with load balancing in routing protocols specifically designed for MANETs.The paper[7] proposes a new load-balanced multi-path dynamic source routing (DSR) protocol for Mobile Ad-Hoc Networks (MANETs). The protocol aims to improve the performance of routing by distributing the traffic load evenly across multiple paths. It addresses the challenge of load balancing in MANETs to optimize resource utilization and reduce congestion. By utilizing multiple paths dynamically, the protocol enhances the efficiency of data transmission and improves the overall network performance. The proposed protocol offers a promising solution for load balancing in MANETs, contributing to the advancement of mobile communication technologies.
The paper[8] introduces a routing protocol for wireless ad hoc networks that focuses on load balancing to enhance network performance. It proposes mechanisms for load estimation, path selection, traffic distribution, and dynamic routing table updates. Through simulations, the protocol demonstrates improved network performance, increased throughput, reduced congestion, and better load balancing compared to existing protocols. The findings highlight the importance of load balancing in optimizing resource utilization and network efficiency in wireless ad hoc networks.
The paper[9] proposes an energy-efficient load balancing approach to enhance the performance of the Ad hoc On-Demand Multipath Distance Vector (AOMDV) routing protocol in Mobile Ad hoc Networks (MANETs). The objective is to distribute network traffic evenly across multiple paths while considering energy constraints. The approach incorporates energy estimation, load balancing algorithm, path selection, and dynamic routing table updates. The performance evaluation considers metrics such as throughput, end-to-end delay, and energy consumption. Using NS-2 simulator, the approach demonstrates improved energy efficiency, enhanced network performance, and balanced traffic distribution compared to traditional AOMDV routing.
The paper[10] presents an advanced load balancing, congestion control, and multipath routing scheme for MANETs. The objective is to improve network performance by efficiently managing traffic and avoiding congestion. The proposed approach combines load balancing techniques, congestion control mechanisms, and multipath routing algorithms. Additionally, it incorporates Random Early Detection (RED) to prevent congestion and utilizes Fractional Order Particle Swarm Optimization (FOPSO) for optimizing the routing paths. The performance of the scheme is evaluated through simulations, considering metrics such as throughput, delay, and packet delivery ratio. The results demonstrate that the proposed approach effectively achieves load balancing, congestion control, and improves the overall performance of MANETs.
The paper[11] introduces an improved version of the Ad hoc On-demand Multipath Distance Vector (AOMDV) routing protocol for ad hoc networks. The objective is to enhance the routing efficiency by incorporating load balancing mechanisms while considering energy constraints. The proposed protocol aims to distribute traffic evenly across multiple paths, thereby reducing congestion and prolonging network lifetime. It achieves this through load balancing algorithms and energy-aware routing decisions. The performance of the protocol is evaluated using simulations, considering metrics such as throughput, end-to-end delay, and energy consumption. The results show that the improved AOMDV protocol effectively balances the network load, improves routing efficiency, and prolongs the network lifetime by considering energy constraints.
The paper[12] presents a multipath routing protocol for ad hoc networks based on the Ad hoc On-demand Multipath Distance Vector (AOMDV) protocol. The objective is to achieve load balancing and energy efficiency in the network. The proposed protocol incorporates load balancing mechanisms to distribute traffic across multiple paths, thereby reducing congestion and improving network performance. It also takes into account energy constraints by considering the residual energy of nodes when selecting routes. The performance of the protocol is evaluated through simulations, measuring metrics such as packet delivery ratio, end-to-end delay, and energy consumption. The results demonstrate that the proposed protocol effectively achieves load balancing, enhances energy efficiency, and improves the overall performance of the ad hoc network.
The paper[13] presents a modified energy-constrained protocol based on the Ad hoc On-demand Multipath Distance Vector (AOMDV) routing protocol for mobile ad hoc networks. The objective of the protocol is to enhance energy efficiency and prolong network lifetime. The proposed protocol incorporates energy constraints by considering the remaining energy levels of nodes in route selection. It aims to balance energy consumption among nodes and avoid energy depletion in specific nodes. The performance of the protocol is evaluated through simulations, considering metrics such as network lifetime, energy consumption, and packet delivery ratio. The results show that the modified energy-constrained protocol improves energy efficiency, extends network lifetime, and maintains satisfactory packet delivery performance compared to traditional AOMDV protocols.
The paper[14] proposes a multipath routing protocol that aims to achieve load balancing and Quality of Service (QoS) in ad hoc networks. The objective of the protocol is to distribute network traffic evenly across multiple paths, thereby improving network performance and resource utilization. The methodology includes load balancing mechanisms and QoS considerations in the path selection process. The protocol is evaluated using performance metrics such as throughput, delay, and packet delivery ratio. The results show that the proposed protocol achieves load balancing, improves network performance, and ensures QoS requirements are met in ad hoc networks.
The paper[15] aims to improve load balancing and energy efficiency in ad hoc networks. It achieves this by considering both the residual energy of nodes and load balancing factors during route selection. The protocol dynamically balances the traffic load across multiple paths while ensuring that energy-constrained nodes are not excessively utilized. Through simulations, the LBMMRE-AOMDV protocol demonstrates improved load balancing, enhanced network performance, and prolonged network lifetime compared to traditional AOMDV protocols.
The paper[16] proposes a method to improve the performance of the AOMDV routing protocol in mobile Ad-hoc networks by incorporating traffic-aware load balancing. It introduces a mechanism that monitors traffic load and dynamically adjusts routing decisions based on current network conditions. The proposed approach redistributes traffic across multiple paths to alleviate congestion and enhance network performance. Simulations show that it significantly improves throughput, reduces packet loss, and enhances network stability compared to traditional AOMDV routing.
The paper[17] proposes an energy-efficient load balancing approach for the AOMDV routing protocol in mobile Ad-hoc networks (MANETs). It aims to distribute energy consumption evenly among nodes, thereby extending the network's lifetime and improving overall performance. The approach involves load estimation based on energy levels and selecting routes with lower energy consumption. Simulations show that the proposed technique significantly improves network lifetime, reduces energy consumption, and enhances performance compared to traditional AOMDV routing.
The paper[18] proposes an energy-aware approach for the AOMDV routing protocol in MANETs. It considers the queue length of nodes as a constraint to optimize energy consumption and improve network efficiency. The approach involves energy estimation and routing based on constrained queue length. It selects routes with unconstrained queue lengths to promote efficient energy usage. Simulations show that the proposed approach significantly improves energy consumption, network efficiency, and node lifespan in MANETs.