Abstract-Few interest has been given to the WMN channel performance till now. A performance measurement of the MIT RoofNet [2] characterizes outdoor channel conditions. But a WMN is not limited to an outdoor broadband wireless network solution. Due to its economic benefits and deployment ease, the WMN is becoming an alternative networking solution to Ethernet and WLAN in big complexes such as malls and business houses. This paper characterizes indoor channel conditions as a function of human shadowing, human movement and WR placement inside the building. Our work has major contributions in the field of WMN planning and organization, and routing management issues.We modeled a human body whose height and size are based on an average male Korean. The theoretical ElectroMagnetic (EM) interaction model between the human body

Abstract-A Wireless Mesh Network (WMN) is a fast growing network, which is now a popular technology for providing wireless internet connection to industry as well as community. A WMN is a collection of nodes (usually a computer with one or more wireless Network Interface Cards (NICs)) that are connected to one another with single or multiple hop ad hoc links forming a mesh backbone network. Ad hoc links are popular in mesh connectivity as they are self-configuring and self-healing. In this paper, we discuss WMN design and deployment issues with reference to our WiSEMesh testbed. WiSEMesh has 56 nodes deployed in the campus area providing internet connection for over 1000 users. Each node consists of a small form factor computer with three wireless NICs. We developed the WiSEMesh node software stack that contains unix based operating system, wireless NIC drivers, tools such as DHCP server, NAT etc. WiSEMesh has properties like scalability, open source operating software, heterogeneous hardware support, high performance, globally reachable, and easy to configure network. Hence, it can spread faster as a community wireless network and also provide a flexible platform for testing communication network layers. We also address design issues of a Network Management System (NMS) that can be implemented in any wireless network. Our NMS named WiVi provides platform for software distribution and network configuration with an elaborate data collection and storage facilities. For a large and scalable network like WiSEMesh, a massive database needs to be designed. One of the WiVi design objectives is to provide a robust, flexible and scalable database. WiVi achieves database design goals by implementing a concept "network in database" where network is logically divided into hierarchy of hardware components and each component is treated as an object in the database. The "network in database" implementation guarantees data collection and storage flexibility. By implementing the NMS software distribution platform and the hardware independent WiSEMesh node software stack, our testbed is confirmed to achieve scalability.

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IEEE 802.16m standard is defining several improvements on IEEE 802.16e standard, one of them being handover (DO). This paper provides a policy to satisfy IEEE 802.16m benchmark of 150msec or less for a hard handover (DO) between two base stations (BSs). To facilitate such fast DO, the target BSs are chosen before DO is sought. Such choice is made based on previously acquired knowledge of human mobility behavior. There are several initial ranging opportunities provided before the actual DO. Before the connection breaks with serving BS, target BS sets up its MAC states to allow instantaneous connection of service flows that are prevalent in the ongoing connection. Once the connection is broken, serving BS redirects the traffic to target BS while MSS, using the ranging parameters provided right before the connection breakup, initiates a connection request to the target BS. Several timers perform as check points so that critical operations are performed in timely manner.