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A distributed clustering algorithm, called distributed mobility-adaptive clustering (DMAC), proposed by Basagni (1999) uses a mechanism to construct clusters which is similar to the algorithm in Lin and Gerla (1997) However, it uses the weight of the nodes instead of node IDs as keys when determining the CHs The weight of the nodes could be assigned depending on the remaining energy in the cluster or the capacity of the nodes The algorithm (Lin and Gerla, 1997) is then followed with such weight instead of the original lowest ID used in Lin and Gerla (1997) On the basis of the DMAC, a protocol for the topology control of large wireless sensor networks, called S-DMAC , was proposed in Basagni et al (2004) The protocol is used to select a subset of sensor nodes to build a connected backbone and let all other nodes switch to an energyconserving sleep mode.

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A connected backbone consists of backbone nodes and gateway nodes which interconnect the backbone nodes, where backbone nodes are the CHs computed by DMAC S-DMAC optimizes the overhead for neighbor discovery at both the backbone construction and backbone maintenance stages by limiting the use of hello messages The backbone is reorganized only when introducing a new batch of nodes with much higher energy than the current nodes, or when backbone nodes deplete their energy A nonbackbone node will join a newly inserted backbone node only when the residual energy of the new backbone node exceeds the original one s energy by a prede ned threshold When compared with GAF, S-DMAC provides a connected backbone with a smaller number of nodes It also reduces the number of backbone reorganizations and exchanged hello messages.

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distinguished from laddering down, 68 69 Qualifying phrase, 28 29, 35, 36, 39, 47, 67, 78, 81, 224, 226 and Overall Summary Construct, 172 Qualitative versus quantitative, 71 72 Range of convenience, 12, 13, 79, 85, 187, 210 Ranking not rating, 55 56 Rating scale, number of points, 36, 54 55 Rating scale directionality, 18 19, 25, 47 Ratings accidental reversal of, 47, 48 alternatives to, 54 56 basic use, 13 14, 36 37, 47, 79 80 inapplicable, 37, 49 51 initial example, 17, 18 missing, 81 subtracting differences between, 211 Realm of discourse, 12, 13 in Simple Partnering technique, 224 Reliability, 103 104, 150, 151, 152 Index A, 157, 160, 162 Index B, 157, 160, 162 see also Content analysis, reliability Reliability coef cients, 165 Cohen s Kappa, 163, 168 Perrault Leigh Index, 163, 168 Reliability tables, 155, 157, 156, 158, 159, 160, 162, 181 Repertory Grid basic de nition, 14 15, 52 basic example, 16, 17 comparing different number of elements, 55 56 as decision-making technique, 99, 140 as a decision-making technique exercise, 140, 143 in a dissertation, 4, 21, 39, 76, 135, 163, 177 as a mental map, 14, 29, 41, 48, 104 and personal change, 136 (see also Applications, guidance and counselling) not a personality assessment, 103 as a picture of a construct hierarchy, 187, 250 time required for, 197 Research, collaborative, 28, 98

Clustering is a typical example of a quasi-local protocol for both the construction and maintenance phases (Simplot-Ryl et al, 2005) It has a chain effect : a simple change in an edge or node failure/addition may trigger global backbone updates by propagation The propagation is typically suppressed at the expense of quality of the cluster structure Another dif culty is to connect CHs into a connected backbone via gateway nodes The process normally either elects too many gateways, or uses too many messages to elect fewer ones..

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