Abstract-Energy limitations have become fundamental challenge for designing wireless sensor networks. Network lifetime represent the most important and interested metric. Several attempts have been made for efficient utilization of energy in routing techniques. This paper proposes an energy efficient routing technique for maximizing the networks lifetime called swarm intelligence routing. This is achieved by using ant colony algorithm (ACO) and artificial immune system (AIS). AIS is used for solving packet LOOP problem and to control route direction. While ACO algorithm is used for determining optimum route for sending data packets. The proposed routing technique seeks for determining the optimum route from nodes towards base station so that energy exhaustion is balanced and lifetime is maximized. Proposed routing technique is compared with Dijkstra routing method. Results show significant increase in network lifetime of about 1.2567.
Abstract-Energy limitations has become fundamental challenge for designing wireless networks systems. One of the important and interested features is network lifetime. Many works have been developed to maximize wireless sensor network lifetime, in which one of the important work is routing. This paper proposes a new adaptive routing technique for prolonging the lifetime in wireless sensor networks by using Fuzzy-Immune System. The artificial immune system is used to solve the packet LOOP problem and to control route direction. While fuzzy logic system is used to determine the optimal path for sending data packets. The proposed routing technique seeks to determine the optimal route path from source to destination so that energy consumption is balanced. The proposed routing technique is compared with classical method. Simulation results demonstrate that the proposed technique shows significant increase in network lifetime of about 0.93. The proposed technique proved that energy consumption is well managed.
Energy limitations have become fundamental challenge for designing WSNs. Network lifetime is the most interested and important metric in WSNs. Many works have been developed for prolonging networks lifetime, in which one of the important work is the control of transmission power. This paper proposes a new fuzzy transmission power control technique that operate together with routing protocols for prolonging WSNs lifetime. Dijkstra shortest path routing is considered as the main routing protocol in this work. This paper mainly focuses on transmission power control scheme for prolonging WSNs lifetime. A performance comparison is depicted for maximum and controlled transmission power. Simulation results show an increase in network lifetime equals to 3.4776 for the proposed fuzzy control. The performance of the proposed fuzzy control technique involves a good improvement and contribution in the field of prolonging networks lifetime by using transmission power control.
Energy constraint has become the major challenge in designing wireless sensor networks. Network lifetime is considered the most substantial metric in these networks. The routing technique is one of the best choices for maintaining a network lifetime. This paper demonstrates the implementation of the new methodology of routing in WSN using Firefly swarm intelligence. Energy consumption is the dominant issue in wireless sensor network routing. For network cutoff avoidance while maximizing net lifetime, energy exhaustion must be balanced. Balancing energy consumption is the key feature for the rising net lifetime of WSNs. This routing technique involves the determination of the optimal route from the node toward the sink to make energy exhaustion balance in the network and at the same time maximize network throughput and lifetime. The proposed technique show that it is better than other some routing techniques like Dijkstra routing, Fuzzy routing, and ant colony (ACO) routing technique. Results demonstrate that the proposed routing technique has beat the three routing techniques in throughput and extend net lifetime.
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