Reducing Power Consumption in Network Discovery with Motion Detection in Heterogeneous Wireless Networks

Abstract

Seamless handoff is critical to providing highquality services for mobile users. Before handoff, a mobile terminal (MT) must be aware of the impending handoff and determine what other wireless networks are available in time. In the network discovery stage, an MT must activate its interfaces for base station search, association, AAA (Authentication, Authorization, Accounting), address acquisition, and so on. Therefore, if insufficient time is available for the MT to perform these procedures, then the connection will be disrupted. However, frequent interface activation can cause considerable battery drain. This paper presents a Network Discovery algorithm with Motion Detection, NDMD, to solve these problems. NDMD can simply use the received signal strength (RSS) to predict a user's motion without the assistance of a positioning system. Based on the predicted moving behavior, an MT can perform network discovery in time to reduce handoff dropping rate and prevent unnecessary activation of its interfaces to save the battery power. Simulation results show that NDMD can effectively detect user behavior, reduce power consumption in network discovery, and improve handoff quality.

Momentum-Based Motion Detection Methodology for Handoff in Wireless Networks

“…Also performance of handoff algorithms based on NDMD [12], MRSS, DMRSS and RSS threshold with Dwell-Timer are simulated and compared in number of failure handoff and accumulated active time of all interfaces. We run the simulation 100 times.…”

“…The parameters of various approaches and thresholds are presented in Table 3. The k value for NDMD [12] is used to calculate a smoothing fac- tor β. During a handoff procedure, if the RSS value from the current servicing access point is lower than T H Break , then the connection is broken and the handoff is filed.…”

“…The reactive approaches use predefined thresholds to trigger a MN's network discovery [10][11][12] so that the MN can preserve battery power. In [10], the authors discussed network discovery by using Link Going Down (LDG) trigger in the Media Independent Handover (MIH) framework [13].…”

“…The authors in [12] presented an NDMD algorithm to enable MN's interfaces when the MN is moving away from its current BS. The authors claim that NDMD can reduce 30 percent of battery power consumption than that of alwayson approach.…”

Hierarchical Scanning Algorithm for Integrated Mobile and Nomadic Access Systems

“…In this circumstance, a scanning operation to detect suitable local area cells for handoff should require considerable time latency because of a large number of cells to be scanned. It immediately causes several problems like increasing handoff latency, imposing large buffer size and wasting battery power [5] [6]. Our motivation for developing a hierarchical scanning algorithm is to find the way of minimizing the time spent in the scanning operation for MSs operating in the environment where a large number of local area cells are deployed.…”