High-speed networks: TCP/IP and ATM design principles
High-speed networks: TCP/IP and ATM design principles
A key-management scheme for distributed sensor networks
Proceedings of the 9th ACM conference on Computer and communications security
Data Gathering in SEnsor Networks using the Energy Delay Metric
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Prototyping a GA Pipeline for Complete Hardware Evolution
EH '99 Proceedings of the 1st NASA/DOD workshop on Evolvable Hardware
Energy-Aware Routing in Cluster-Based Sensor Networks
MASCOTS '02 Proceedings of the 10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
JAM: A Jammed-Area Mapping Service for Sensor Networks
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Robust statistical methods for securing wireless localization in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Group key management scheme for large-scale sensor networks
Ad Hoc Networks
Routing techniques in wireless sensor networks: a survey
IEEE Wireless Communications
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
A genetic algorithm for shortest path routing problem and the sizing of populations
IEEE Transactions on Evolutionary Computation
IEEE Communications Magazine
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There has been a growing interest in the applications of sensor networks, such as combat field surveillance, terrorist tracking and highway traffic monitoring. These applications gather sensed data from sensor nodes to monitor events in the territory of interest. One of the important issues in these applications is the existence of the radio-jamming zone between source nodes and the base station. Depending on the routing protocol the transmission of the sensed data may not be delivered to the base station. To solve this problem we propose a routing path generation method that is based on genetic algorithms for reliable transmission by considering the balanced energy depletion of the sensor nodes. The genetic algorithm finds an efficient routing path by considering the radio-jamming zone, energy consumption needed for data transmission and average remaining energy. The fitness function employed in the genetic algorithm is implemented by applying the fuzzy logic. In simulation, our proposed method is compared with LEACH and Hierarchical PEGASIS. The simulation results show that the proposed method is efficient in both the energy consumption and success ratio of the delivery.