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Design, implementation and evaluation of a low energy consumption method for wireless sensor networks
(2014) Sarhan, Khalid Jamel
The aim of this thesis is to save the energy of the nodes. The first goal of this thesis is to reduce the total energy consumption of the wireless sensor network. The second goal is to increase the reliability of the protocol along with improving the network latency as compared with previous cluster-based protocols. The network area is divided to four region. First region send information directly to base station. Second region has cluster heads and this cluster heads collect information and then send to rechargeable sensor and then this sensor send to base station. These cluster heads are selected on the basis of a probability. The third region has rechargeable node and this sensor collect information and then send to base station. Fourth region (same second region) has cluster heads and this cluster heads collect information and then send to rechargeable sensor and then this sensor send to base station. Proposed protocol performance is compared with LEACH (Low Energy Adaptive Clustering Hierarchy). The performance of proposed method is overcome than the previous works.
Adaptive energy consumption method for wireless sensor networks using optimization algorithms
(2018) Mahmood Al-Karkhı, Elaf Ahmed
The objective of this thesis is to save the nodes energy using optimization approach with Particle Swarm Optimization Algorithm. The network area is divided to several regions for parametric study. In the proposed method, the energy of the efficient routing is enhanced and the system used the Particle Swarm Optimization for eliminate the individual nodes in wireless sensor network. In this thesis the optimization method is used to find the best hop in wireless sensor network which use the Gravitational Search Algorithm. The proposed work compared with Low Energy Adaptive Clustering Hierarchy. In simulation result the total energy for proposed method is got 8 Joules, which the energy for the OEERP is got 10 Joules and for the LEACH the 20 Joules is got. That’s mean proposed method is 20% better than the energy consumption from optimized energy efficient routing protocol and 60% better than the Low Energy Adaptive Clustering Hierarchy method is reduced. In proposed method the packet delivery ratio is high than the optimized energy efficient routing protocol and Low Energy Adaptive Clustering Hierarchy method. As result the packet delivery is 100. This values only the base value and for 4000 bit packet that time 400,000 packet will send to the base station. The packet delivery for optimized energy efficient routing protocol is 60 and for Low Energy Adaptive Clustering Hierarchy this value is 64
An energy-efficient clustering based communication protocol with dividing the overall network area for wireless sensor networks
(2014) Khalaf, Abdulrahman Zaidan
In this thesis, the energy efficient and connectivity problem in wireless sensor networks (WSNs) is presented. There are more difference between energy levels of near nodes and far nodes of cluster heads. This problem compensated by dividing the entire network (sensor field) into equal area and applies different clustering policies to each section. The results compared with results of LEACH (Low Energy Adaptive Clustering Hierarchy). The performance of proposal system overcomed the previous studies. Also this protocol guaranted transmitting data and transmission in high traffic networks to reduce energy consumption and packet failure
Evaluation and comparison of energy efficient node deployment strategies in wireless sensor networks
(2015) Mahmood, Ozlam Abdulhakeem Mahmood
The lifetime of wireless sensor network is vital issue. Many wireless sensor networks applications have involve deployed sensors, these sensors are unattended for a long time (months or years). Wireless Sensor Networks (WSNs) lifetime can be enhanced if the data flow traffic in the sensor network is modified in a manner that all sensors consumed their energies in a balanced fashion. In our thesis, we studied the problem of energy depletion and sensor network lifetime improvement in many to one communications networks. In such networks, all sensor nodes collect and transmit data to one base station through multi-hop communications. The data flow traffic model is greatly non-uniform. This situation generates heavy traffic load in the nodes near to the base station. In this thesis, a linear program (LP) method has been studied for modeling the theoretical features of the non-uniform node distributions strategies in wireless sensor networks. Gaussian (normal) and exponential node deployment models have been proposed and we have tried to observe the optimal parameters of normal distribution. Also, the effect of base station location on the lifetime of sensor network has been studied in non-uniform and uniform deployment models. Our results indicated that non-uniform node deployment and base station location have significant effects on the energy consumption of sensor nodes. Proposed node deployment models can affect the energy consumption and can balance energy depletion between sensor nodes reaches a particular level.

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