An evolutionary approach to routing in mobile AD HOC networks using dominating sets.

This thesis presents a new approach to routing in ad-hoc wireless networks using virtual backbones that may be approximated by the graph theoretic concept of dominating sets. · Ad hoc wireless networks provide a flexible and quick means of establishing wireless peer-to-peer communications. Routing remains the main challenging problem in an ad hoc network due to its multihop nature and dynamic network topology. Several protocols based on virtual backbones in ad hoc wireless networks have been proposed that may be used to simplify the routing process. However, little is known about the network routing performance of these protocols and no attempt has previously been made to directly compare them. This thesis is the first research effort to implement, analyze and compare the routing performance of dominating-set-based routing protocols. In this study, we examine four existing routing approaches using a virtual backbone, or spine , imposed on the ad­hoc network. We then propose an evolutionary approach to constructing a stable minimum connected dominating set in an ad hoc wireless network: this employs the use of a genetic algorithm. Since the mobile· nodes that constitute an ad hoc wireless network are constantly in motion, the network configuration is subject to constant change in a manner that resembles the biological process of mutation. This evolution of networks over time lends itself naturally to a model based on genetic algorithms. As part of an in-depth study of the application of genetic algorithms in the field of wireless networks, a scatternet formation protocol for Bluetooth networks was designed, developed and evaluated. This helped to build the knowledge base required to implement new routing protocols using the network simulator ns-2. Simulation studies were then conducted using ns-2 to compare the performance of previously proposed dominating­set-based routing approaches. In this thesis, we analyze the performance of our evolutionary routing approach and compare it with the previous approaches. We present our simulation results and show that our evolutionary routing approach outperforms the other routing algorithms with respect to end-to-end packet delay, throughput, packet delivery ratio and routing overhead· across several different scenarios. Thus, we demonstrate the advantages of utilizing a genetic algorithm to construct a backbone that is · used to effectively route packets in an ad-hoc wireless network

Evolutionary Game for Mining Pool Selection in Blockchain Networks

In blockchain networks adopting the proof-of-work schemes, the monetary incentive is introduced by the Nakamoto consensus protocol to guide the behaviors of the full nodes (i.e., block miners) in the process of maintaining the consensus about the blockchain state. The block miners have to devote their computation power measured in hash rate in a crypto-puzzle solving competition to win the reward of publishing (a.k.a., mining) new blocks. Due to the exponentially increasing difficulty of the crypto-puzzle, individual block miners tends to join mining pools, i.e., the coalitions of miners, in order to reduce the income variance and earn stable profits. In this paper, we study the dynamics of mining pool selection in a blockchain network, where mining pools may choose arbitrary block mining strategies. We identify the hash rate and the block propagation delay as two major factors determining the outcomes of mining competition, and then model the strategy evolution of the individual miners as an evolutionary game. We provide the theoretical analysis of the evolutionary stability for the pool selection dynamics in a case study of two mining pools. The numerical simulations provide the evidence to support our theoretical discoveries as well as demonstrating the stability in the evolution of miners' strategies in a general case.Comment: Submitted to IEEE Wireless Communication Letter

Coverage Protocols for Wireless Sensor Networks: Review and Future Directions

The coverage problem in wireless sensor networks (WSNs) can be generally defined as a measure of how effectively a network field is monitored by its sensor nodes. This problem has attracted a lot of interest over the years and as a result, many coverage protocols were proposed. In this survey, we first propose a taxonomy for classifying coverage protocols in WSNs. Then, we classify the coverage protocols into three categories (i.e. coverage aware deployment protocols, sleep scheduling protocols for flat networks, and cluster-based sleep scheduling protocols) based on the network stage where the coverage is optimized. For each category, relevant protocols are thoroughly reviewed and classified based on the adopted coverage techniques. Finally, we discuss open issues (and recommend future directions to resolve them) associated with the design of realistic coverage protocols. Issues such as realistic sensing models, realistic energy consumption models, realistic connectivity models and sensor localization are covered

Optimisation of Mobile Communication Networks - OMCO NET

The mini conference “Optimisation of Mobile Communication Networks” focuses on advanced methods for search and optimisation applied to wireless communication networks. It is sponsored by Research & Enterprise Fund Southampton Solent University. The conference strives to widen knowledge on advanced search methods capable of optimisation of wireless communications networks. The aim is to provide a forum for exchange of recent knowledge, new ideas and trends in this progressive and challenging area. The conference will popularise new successful approaches on resolving hard tasks such as minimisation of transmit power, cooperative and optimal routing