Optimizing the beacon exchange rate for proactive autonomic configuration in ubiquitous MANETs

Proactive self-configuration is indispensable for MANETs like ubiquitous sensor networks (USNs), as component devices of the network are usually exposed to natural or man-made disasters due to the hostile deployment and ad hoc nature of the USNs. Network state beacons (NSBs) are exchanged among the key nodes of the network for crucial and effective monitoring of the network for steady state operation. The rate of beacon exchange (F/sub E/) and its contents, define the time and nature of the proactive action. Therefore it is very important to optimize these parameters to tune the functional response of the USN. This paper presents a comprehensive model for monitoring and proactively reconfiguring the network by optimizing the F/sub E/. The results confirm the improved throughput while maintaining QoS over longer periods of network operation

A Novel Survey Analysis on Energy-Aware Routing Protocols for Manet Applications

MANET system applications in today situation consumes larger amounts of energy this energy becomes an important parameter and scarce resource in MANETS This energy consumption has to be reduced and harvested in the communication devices for efficient usage of energy and power Different energy aware and harvesting strategies have been devised using various protocols to achieve the reduction and minimised usage of the available energy and power resources This paper surveys and illustrates the differences of various Energy aware Routing Protocol used in MANETS based on the matrices used These protocols provide some awareness in optimizing the Energy and Power Resources and limit the consumption when nodes are idle This intern increases the life time of the node and improves the performance widely investigating the energy efficiency protocols for adhoc infrastructure less MANET environmen

GEAMS: a Greedy Energy-Aware Multipath Stream-based Routing Protocol for WMSNs

Because sensor nodes operate on power limited batteries, sensor functionalities have to be designed carefully. In particular, designing energy-efficient packet forwarding is important to maximize the lifetime of the network and to minimize the power usage at each node. This paper presents a Geographic Energy-Aware Multipath Stream-based (GEAMS) routing protocol for WMSNs. GEAMS routing decisions are made online, at each forwarding node in such a way that there is no need to global topology knowledge and maintenance. GEAMS routing protocol performs load-balancing to minimize energy consumption among nodes using twofold policy: (1) smart greedy forwarding and (2) walking back forwarding. Performances evaluations of GEAMS show that it can maximize the network lifetime and guarantee quality of service for video stream transmission in WMSNs

Energy Efficiency Comparative Analysis of Different Routing Protocol In MANET for Healthcare Environment

Now a day ad hoc mobile networks have several routing protocols, but every protocol has its own advantages and limitations therefore our main aim is to meet maximum performance using advance algorithm. Some are good in a small network; some are suitable in large networks, and some give better performance in location or global networks. Today advance and innovative applications for health care environments which are based on a wireless network are being developed in the commercial sectors. In our research work ECHERP framework gives a better performance as compared to other routing protocol. Designing WSN with this architecture in mind will enable designers to balance the energy dissipation and optimize the energy consumption among all network constituents because energy is one of the most crucial factor and sustain the network lifetime for the intended application. By categorizing the overall WSN system into sub region, components of each region were extracted in terms of their dominant factors, followed by a mathematical formula as a total energy cost function in terms of their constituents. As in our base paper three protocols are used which are DSR, DSDV and AODV and out of these DSR has best parameters on comparing diverse parameters has maximum remaining energy. But in our research a new protocol ECHERP is integrated in NS2 and then we compared these four protocols and we found that ECHERP have optimized values of parameters

Performance Improvement of AODV in Wireless Networks using Reinforcement Learning Algorithms

This paper investigates the application of reinforcement learning (RL) techniques to enhance the performance of the Ad hoc On-Demand Distance Vector (AODV) routing protocol in mobile ad hoc networks (MANETs). MANETs are self-configuring networks consisting of mobile nodes that communicate without the need for a centralized infrastructure. AODV is a widely used routing protocol in MANETs due to its reactive nature, which reduces overhead and conserves energy. This research explores three popular Reinforcement Learning algorithms: SARSA, Q-Learning and Deep Q-Network (DQN) to optimize the AODV protocol's routing decisions. The RL agents are trained to learn the optimal routing paths by interacting with the network environment, considering factors such as link quality, node mobility, and traffic load. The experiments are conducted using network simulators to evaluate the performance improvements achieved by the proposed RL-based enhancements. The results demonstrate significant enhancements in various performance metrics, including reduced end-to-end delay, increased packet delivery ratio, and improved throughput. Furthermore, the RL-based approaches exhibit adaptability to dynamic network conditions, ensuring efficient routing even in highly mobile and unpredictable MANET scenarios. This study offers valuable insights into harnessing RL techniques for improving the efficiency and reliability of routing protocols in mobile ad hoc networks

Cost Optimization Approach for MANET using Particle Swarm Optimization

This paper present the approach require to increase the QoS of MANET network using particle swarm optimization algorithm. To improve data communication between two nodes we propose an efficient algorithm for AODV protocol using PSO where instead of suppling all default parameter with default value of AODV protocol we try to provide selective parameters with optimum value so that overall requirement of control packet get decrease that in turn result in to increase quality of service parameters of MANET. For the enhancement of reliability and reduction of cost, node speed control mechanism is implemented using PSO, The given method which is use for simulation, reduces the overall loss of data and also make transmission effective. We have also tested the performance of network by changing data rates and the speed of the node