[PDF] Top 20 Optimization of Wireless Sensor Networks Based on Differential Evolution Algorithm

... the algorithm is effective [6]. Similarly, Iqlbal et al. (2015), based on the GA, analyzed the WSN and proposed an optimal multipath routing algorithm in the WSN ...the algorithm is that the ... See full document

... Energy Optimization in Wireless Sensor Networks based on Genetic Algorithms Energy Optimization in Wireless Sensor Networks Based on Genetic Algorithms Angela Rodriguez Intelligent Management Systems[.] ... See full document

... interval based cloud similarity comparison algorithm can effectively improve the accuracy and reduce the complexity of the ...of wireless sensor networks. A trust model based on ... See full document

... Genetic Algorithm (GA). The algorithm, as a methodology, is a multi objective methodology which can be used in different fields such as self-organizing wireless sensor ...clustering ... See full document

... (TPGF) based on geographic location information based on the GPSR (Greedy Perimeter Stateless Routing) ...TPGF algorithm finds a path that can bypass the hole and selects the minimum hop path to ... See full document

... This algorithm simulated the “survival of the fittest” natural evolution ...the algorithm, which has become a classic in the field of DE algorithm ...in Differential Evolution” ... See full document

... distribution networks using a meta-heuristic algo- rithm called Differential Evolution ...hydraulic networks can be achieved by treating it as an optimization problem as shown by Arora ... See full document

... coevolutionary differential evolution with harmony search algorithm (CDEHS) to solve the reliability redundancy optimization ...by differential evolution algorithm, and ... See full document

... model based on interacted multiple objectives to filter the measured distance under the LOS/NLOS mixed environment, in which the IMM algorithm is applied to filter the distance, and then the extended Kalman ... See full document

... Zheng Wei (2014) et. al present that, this paper presents an intelligent method for modeling Routing in WSN. A unique routing protocol depends on Artificial Bee Colony algorithm is presented in this paper for ... See full document

... In order to resist internal attacks from malicious nodes, this paper proposes an ant colony optimization algo- rithm for secured routing based on trust sensing model in WSNs. Firstly, aiming at the problems ... See full document

... in wireless networks often involves the location of sensed data in wireless sensors and ...age, sensor node deployment, target tracking and ...sation algorithm to enhance the quality of ... See full document

... Ant Based Routing Protocol ...a sensor node to base is called as ...Colony Optimization (ACO) algorithm is based on the behaviour of real ...the sensor nodes are considered as ... See full document

... genetic algorithm based node placement methodology for a wireless sensor ...fixed wireless network of sensors of different operating modes was considered on a grid deployment and the GA ... See full document

... in wireless sensor networks have been put for- ward in recent ...of sensor nodes and makes the energy consumption more balanced in the whole network ...some sensor nodes act as ... See full document

... sensor networks. For the particularity and security threats of wireless sensor networks, we proposed an anomaly detection method based on particle swarm optimization ... See full document

... in wireless sensors ...herding optimization (EHO) algorithm is ...EHO algorithm are optimized such that they match the energy decay model between two sensor ...proposed algorithm ... See full document

... channels based on the needs of main users and secondary ...available wireless resource could be extended from one dimension to ...multidimension. Based on cross layer design after considering quality ... See full document

... Bat Optimization (BO) with the Differential Evolution (DE) strategy using the feasibility- based rules, namely DEBO is proposed to deal with the constrained optimization ... See full document

... Here, Re is the residual energy of each node in the cluster, D is the distance of each node from BS (helps in finding the location with respect to BS) and Nt is the number of retransmissions of each node. Once the ... See full document