Energy and Load Aware Multipath Route Selection for Mobile Ad hoc Networks

Routing protocols are crucial in delivering packets from source to destination in scenarios where destinations are not directly within the sender’s range. Various routing protocols employ different strategies, but their presence is indispensable for seamless data transfer from source to destination. Multipath routing, while offering load balancing, often falls short in efficiently distributing the network’s load, thus adversely impacting the vital communication resource—energy—due to packet loss. This paper introduces an Energy-Efficient Load-Aware Routing (ELAM) scheme to enhance the routing performance of Mobile Ad hoc Networks (MANETs). Our motivation stems from the observation that many multipath routing protocols are designed based on a single criterion, such as the shortest path, often neglecting load balancing or energy conservation. While the Ad Hoc On-Demand Multipath Distance Vector (AOMDV) protocol demonstrates improved performance compared to unipath routing schemes, achieving both load balancing and energy efficiency remains challenging.  The proposed ELAM scheme considers energy conservation, the shortest path, and load balancing to enhance the performance of multipath routing protocols. ELAM considers the shortest path and energy conservation while accommodating more than two paths in a MANET. We introduce an energy factor that contributes to the network’s lifespan, with efficient load balancing enhancing the longevity of nodes and the overall network. The energy factor provides insights into the energy status, and we evaluate the performance of AODV, AOMDV, and the proposed ELAM. The results demonstrate that the proposed scheme outperforms existing protocols and effectively manages unnecessary energy consumption by mobile nodes. Our performance analysis reveals a minimum 5% improvement in throughput and Packet Delivery Ratio (PDR), indicating reduced packet dropping and network delays

Implementing and Evaluating the Performance Metrics Using Energy Consumption Protocols in Manets Using Multi-Path Routing- Fitness Function

The energy consumption plays a key role in Mobile Adhoc Networks in a day to day life. Mobile Ad Hoc Network (MANET) structure is a temporary network organized dynamically with a possible family of wireless mobiles independent of any extra infrastructural facilities and central administration requirements. Also, it provides solutions to overcome the minimal energy consumption issues. Nodes are battery operated temporarily does not operate on permanent batteries, so energy consumed by a battery depends on the lifetime of the battery, and its energy utilization dynamically decreases as the nodes change their position in MANETs. Multi-path routing algorithm in MANETs provides the best optimal; the solution to transmit the information in multiple paths to minimize the end to end delay, increases energy efficiency, and moderately enhances the life time of a network. The research mainly focused on minimum energy consumption techniques in MANET is of a great challenge in industries. In this paper, the author highlights a novel algorithmic approach Adhoc on Demand Multipath Distance Vector (AOMDV) routing protocol that increases the energy efficiency in MANET by incorporating the demand multipath distance and fitness function. The Adhoc on Demand Multipath Distance Vector-Fitness Function (AOMDV-FF) routing protocol short out minimum distance path that consumes minimum energy and the simulation performance is evaluated using network simulator-2 (NS2) tool. Two protocols are proposed in this work AOMDV and AOMDV-FF and compared some of the performance parameters like energy efficiency, network life time and routing overhead in terms of data transfer rate, data packet size and simulation time, etc. The overall simulation results of the proposed AOMDV-FF method is to be considered as a network with 49 nodesand the network performance factor-end to end delay 14.4358msec, energy consumption 18.3673 joules, packet delivery ratio 0.9911 and routing overhead ratio 4.68 are evaluated. The results show an enriched performance as compared to AOMDV and AOMR-LM methods

Fuzzy based load and energy aware multipath routing for mobile ad hoc networks

Routing is a challenging task in Mobile Ad hoc Networks (MANET) due to their dynamic topology and lack of central administration. As a consequence of un-predictable topology changes of such networks, routing protocols employed need to accurately capture the delay, load, available bandwidth and residual node energy at various locations of the network for effective energy and load balancing. This paper presents a fuzzy logic based scheme that ensures delay, load and energy aware routing to avoid congestion and minimise end-to-end delay in MANETs. In the proposed approach, forwarding delay, average load, available bandwidth and residual battery energy at a mobile node are given as inputs to a fuzzy inference engine to determine the traffic distribution possibility from that node based on the given fuzzy rules. Based on the output from the fuzzy system, traffic is distributed over fail-safe multiple routes to reduce the load at a congested node. Through simulation results, we show that our approach reduces end-to-end delay, packet drop and average energy consumption and increases packet delivery ratio for constant bit rate (CBR) traffic when compared with the popular Ad hoc On-demand Multipath Distance Vector (AOMDV) routing protocol

A Pheromone-Aided Multipath QoS Routing Protocol and its Applications in MANETs

In this paper, we present an ant-based multipath QoS routing protocol that utilizes a single link metric combiningmultiple weighted criteria. The metric is applied to the proposed energy efficient multipath algorithm that considers both energy and latency. Energy efficiency is an important issue in mobile ad hoc networks (MANETs) since node energy supplies are stored in batteries. In order to increase the network lifetime it is important to maximize the minimum node energy along a path. As the network topology changes, failures may occur on active routes,resulting in the need for new route discoveries if only singleroutes per flow are maintained. Frequent new route discovery would, however, increase routing overhead and increase mean and peak packet latency. Using multiple routes simultaneously per flow can be a solution to these problems. Also, a special case of the multipath QoS routing protocol that considers throughput is applied to a security context. A compromised node can obstruct network communication by simply dropping packets that are supposed to be forwarded. In our approach, messages aredistributed over multiple paths between source and destination using ant-based QoS routing. In proportion to the throughput of each path, a pheromone-aided routing table is updated and, subsequently, paths that contain malicious nodes are naturally avoided