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Dual Decomposition for Computational Optimization of Minimum-Power Shared Broadcast Tree in Wireless Networks

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Dual Decomposition for Computational

Optimization of Minimum-Power Shared

Broadcast Tree in Wireless Networks

Di Yuan and Dag Haugland

Supplementary Material

N.B.: When citing this work, cite the original article.

©2012 IEEE. Personal use of this material is permitted. However, permission to

reprint/republish this material for advertising or promotional purposes or for creating new

collective works for resale or redistribution to servers or lists, or to reuse any copyrighted

component of this work in other works must be obtained from the IEEE.

Di Yuan and Dag Haugland, Dual Decomposition for Computational Optimization of

Minimum-Power Shared Broadcast Tree in Wireless Networks, 2012, IEEE Transactions on

Mobile Computing, (11), 12, 2008-2019.

http://dx.doi.org/10.1109/TMC.2011.231

Postprint available at: Linköping University Electronic Press

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Appendix: Computing the best 1-edge exchange

Algorithm 11-edge exchange(T )

Require: A spanning tree T

Ensure: Returns leaving and entering edges (k∗, l) and (m, n) and the new power Pin the best

1-edge exchange. If no improving move exists, dummy-edges and the current power are returned. p(i, s) ← maxj{pij : (i, j) ∈ Ts} ∀i, s ∈ V

(k∗, l, m, n, P) ← 0, 0, 0, 0,P

s∈V

P

i∈V p(i, s) // No improving move is found

// Try all possible edge removals: for all(k, l) ∈ T do

p′(i, s) ← p(i, s) ∀i, s ∈ V

for all s∈ Tkdo p′ (k, s) ← maxj{pkj : (k, j) ∈ Tks} for all s∈ Tldo p′(l, s) ← max j{plj : (l, j) ∈ Tls}

// (i) Power needed for internal forwarding of messages from internal sources: PII ←P i∈Tk P s∈Tkp ′(i, s) +P i∈Tl P s∈Tlp ′(i, s)

// (ii) Power needed for internal forwarding of messages from external sources: for all m∈ Tkdo PmEI ←P i∈Tk|V (Tl)| p ′(i, m) for all n∈ Tldo PnEI ←P i∈Tl|V (Tk)| p ′ (i, n)

// (iii) Power increment needed for external forwarding of messages from internal sources: for U ← Tk, Tldo

for all m∈ U do

Nm ← 0, ¯pm1← 0, ¯pm2← 0 // Correct if |V (U )| = 1

if|V (U )| > 1 then

Find m1 ∈ arg maxi{pmi : (m, i) ∈ U } // Most power-demanding old neighbor

¯

pm1← pm,m1 // The corresponding power ¯

pm2← maxi{pmi: (m, i) ∈ U, i 6= m1} // Second most, if any

Nm← |V (U ) ∩ V (Tm1)| // Counting sources requiring power ¯pm2 for all m∈ Tkdo

for all n∈ Tldo

PIE ← pie(T

k, pmn,p¯m1,p¯m2, Nm) + pie(Tl, pnm,p¯n1,p¯n2, Nn)

// Check quality of the move(k, l, m, n): if PII+ PEI m + PnEI+ PIE < P∗then (k∗ , l∗ , m∗ , n∗ , P∗ ) ← k, l, m, n, PII + PEI m + PnEI+ PIE  return (k∗, l, m, n, P) 1

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Algorithm 2pie(U , pmn, ¯pm1, ¯pm2, Nm)

Require: A tree U , power pmnof the new edge, the two largest power demandsp¯m1andp¯m2of edges

incident to node m, number Nmof sources demanding powerp¯m2at m.

Ensure: Returns power increment necessary for external forwarding of internal messages at node m. PIE ← 0 // No power increment needed for (m, n) so far

if pmn>p¯m2then

PIE ← Nm(pmn− ¯pm2) // Nmsources ask for increment fromp¯m2to pmn

if pmn >p¯m1then

// All but Nmsources in U ask for increment fromp¯m1to pmn

PIE ← PIE+ (|V (U )| − N

m) (pmn− ¯pm1)

return PIE

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