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Previously, Emergency Rescue Evacuation Support System (ERESS) has been proposed to reduce the number of victim in panic-type disaster. The ERESS operates under the Mobile Ad-hoc NETworks (MANET) environment and make it possible for ERESS users to exchange their physical activity information with each other. This system consists of new mobile terminals (handset size) with advanced disaster recognition algorithm and acquires sensor information such as acceleration, direction difference and walking steps. However, the former ERESS can judge only the big action like stopping, walking, running, and falling. In this paper, we newly introduce a myoelectric sensor into ERESS and propose new state judging algorithm.

Optical Burst Switching (OBS) [1][2][3][4] has been proposed for the next generation Internet based on the Wavelength Division Multiplexing (WDM) [5] network technologies. In the OBS, the serious problem is the burst loss due to the burst contention. There have been a number of traffic control methods [6][7] for solving the burst contention problem. The Internet has two traffic classes, i.e. real-time bursts and reliable bursts. However, most of the conventional traffic controls aren’t suitable for the real-time bursts.

The connected dominating set (CDS) has been generally used for routing and broadcasting in mobile ad hoc networks (MANETs). To reduce the cost of routing table maintenance, it is preferred that the size of CDS to be as small as possible. A number of protocols have been proposed to construct CDS with competitive size, however only few are capable of maintaining CDS under topology changes. In this research, we propose a novel extended mobility handling algorithm which will not only shorten the recovery time of CDS mobility handling but also keep a competitive size of CDS. Our simulation results validate that the algorithm successfully achieves its design goals. In addition, we will introduce an analytical model for the convergence time and the number of messages required by the CDS construction.

Wireless mesh networks have emerged to be one of the promising applications of ad hoc networks. The idea of installing multiple radio interfaces at each mesh router allows a mesh network to better utilize the available wireless bandwidth, but at the same time complicates the issue of route selection. In this paper, we propose a novel metric that measures the bandwidth and cost ratio of each route. Based on this metric, a Cost-Aware Route Selection (CARS) scheme is proposed to improve the overall throughput of a mesh network. The simulation results confirm that our scheme is able to better utilize the limited wireless resource and improves the overall network throughput by more than 95% with different types of traffic and communication patterns when it is compared against the past route selection schemes.